saturday sunday, august 22-23, 201s 11th international · pdf filesequential labeling for...

Saturday & Sunday, August 22-23, 201S

Workshops:

• 11th International Workshop on Graphics Recognition (GREC'201S)

o Organizers:

• Najoua Essoukri Ben Amara (ENISO, SAGE Unit, Tunisia)

• Jean-Marc Ogier (Universite de la Rochelle, L3i, France)

• 6th International Workshop on Camera Based Document Analysis and Recognition

(CBDAR'201S)

o Organizers:

• Dimosthenis Karatzas (Univ. Autonoma de Barcelona, Spain)

• Faisal Shafait (University of Western Australia)

• Sth International Workshop on Multilingual OCR (MOCR'201S)

o Organizers:

• Venu Govindaraju (University at Buffalo, SUNY)

• Prem Natarajan (BBN Technologies, MA)

• Santanu Chaudhury (liT, Delhi, India)

• Srirangaraj Setlur (University at Buffalo, SUNY)

• Huaigu Cao (Raytheon BBN Technologies, USA)

• Safwan Weshah (Xerox Research, USA)

• 4th Int. Workshop on Automated Forensic Handwriting Analysis (AFHA'201S)

o Organizers:

• Muhammad Imran Malik (DFKI-Kaiserslautern, Germany)

• Marcus Liwicki (TU-Kaiserslautern, Germany)

• Michael Blumenstein (Griffith Uni., Australia)

• Angelo Marcelli (Uni. of Salerno, Italy)

• Linda Alewijnse (NFl, the Netherlands)

• Charles Berger (NFl, the Netherlands)

• Bryan Found (Victoria Police, Australia)

• 3rd International Workshop on Historical Document Imaging and Processing (HIP'201S)

o Organizers:

• Bertrand Couasnon (Irisa / Insa, France)

• Bill Barrett (Brigham Young University, USA)

• Volkmar Frinken (Kyushu University, Japan)

• Hamid Amiri (ENIT, Tunisia)

• Volker Margner (Technische Universitat Braunschweig, Germany)

Sunday, August 23, 2015

Doctoral Consortium

Time : 14:00 - 18:00 Locat ion : room Ga l le , Brasser ie Exce l s io r (350m from P rouve congress center)

Chairs: Al ic ia Fornes (Compute r Vis ion Cente r, Spa i n ), Ge rnot A. F i n k (Tech n ische U n iv. Dortmund, Germa ny)

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Handwriting Recognition of Historical Documents

Nuria Ci rera Autonomous University of Barcelona, Spain

Information spotting in huge repositories of scanned document images

Quoc Bao Da ng University of La Rochelle, France

Semantic hashing for hybrid documents

Sebast ien Eskenaz i University of L a Rochelle, France

Word Spotting and Recognition in Images from Heterogeneous Sources

Suman G hosh Autonomous University o f Barcelona, Spain

Image Document Analysis of Palm Leaf Manuscripts

Made Wi ndu Anta ra I<es iman University of La Rochelle, France

Automatic Comics Analysis, Annotation and Indexing Using Graph-based

Approach

Tha nh Nam Le University of La Rochelle, France

A structural method based on texture for ancient document image analysis

Maroua Meh ri University of La Rochelle, France

Detection, localization and typing of text in heterogeneous document images with

deep neural networks

Bast ien Moysset INSA Lyon, France

Sequential Labeling for Recognition of Image Based Patterns

Anupama Ray Indian Institute of Technology Delhi, India

Graph-based Word Spotting

Pau R i ba Autonomous University of Barcelona, Spain

Deep Learning Methods for Robust Historical Documents Analysis

Math ias Seu ret University of Fribourg, Switzerland

Towards Generic Printed OCR

Adnan U I -Hasa n University of Kaiserslautern, Germany

Artificial Arabic Text Detection, Tracking and Recognition in News Videos

Oussama Zayene University o f Sousse, Tunisia

Monday, August 24, 2015

Plenary Talk 1

Time : Monday, August 24, 2015, 09:20 - 10: 10

Locat io n : Aud itor i um 300

Chair: Rejea n P l amondon ( Eco le Po ly techn ique de Montrea l , Ca nada )

Accelerated Discovery: A Big Data Perspective

Venu Govindaraju

University Buffa/o, USA

2015 IAPR/ICDAR Outstanding Achievements Award Winner

Abstract. Today, the advances in computing, storage, and machine learning algorithms make it possible for

the entire scientific literature of any given field to be examined in its totality, so that papers across topics,

years, authors, disciplines, and institutions can reveal linkages that have been thus far unapparent and which

could lead to transformational discoveries. We present a vision for the ICDAR community to address this

grand challenge by proposing a framework that would scale across disciplines and accelerate the entire

process of scientific endeavor and discovery. Two major hurdles need to be overcome. First is the issue of the

sheer volume of scientific literature in existence to date, which is conservatively pegged at nearly 100 million

articles. The literature itself comes in a wide variety of formats, is of varying quality (necessitating assessment

of the veracity of data and results), and continues to grow at a staggering rate (velocity). So, ironically, the

body of scientific articles that typically present the analysis of data, themselves qualify as "Big Data". The

second hurdle is the quality of scientific search currently supported by search engines, which merely make

access more efficient but falls short at facilitating easier and comprehensive understanding of the topic of the

search. We present a roadmap to address the myriad of research challenges to bridge this gap that is crucial to

the process of scientific discovery.

Biography. Dr. Venu Govindaraju, SUNY Distinguished Professor of Computer Science and Engineering, is

the founding director of the Center for Unified Biometrics and Sensors. He received his Bachelor's degree

with honors from the Indian Institute of Technology (IIT) in 1986, and his Ph.D. from UB in 1992. He has co

authored about 400 refereed scientific papers. and has supervised the dissertations of 30 doctoral students. He

has served on the editorial boards of premier journals such as the IEEE Transactions on Pattern Analysis and

Machine Intelligence and is currently the Editor-in-Chief of the IEEE Biometrics Council Compendium.


Oral Session 1: Historical Document Processing

Time : Monday, August 24, 2015, 10:30 - 12:30

Locat io n : Room 202

Chair: Joseph L lados (CVC, U n ivers itat Autbnoma de Ba rce lona , Spa i n )

#058 Combining Handwriting and Speech Recognition for Transcribing Historical

Handwritten Documents

Em i l i o G rane l l a nd Ca r los-D Ma rtfnez-H i na rejos Universitat Politecnica de Valencia, Spain

#210 Blind Versus Unblind Performance Evaluation of Binarization Methods

Amina Djema, Youcef Ch iba n i , Abdenou r Sehad and Et-Ta h i r Zemouri USTHB, Algeria (will be presented by Hassiba Nemmour)

#222 Effects of Clustering Algorithms on Typographic Reconstruction

E l i sa H . Barney Sm ith 1 a nd Ba rt La m i rol 1 Region 6 - NE Area Chair, USA

2 Universite de Lorraine-LORIA, France

#225 OCR performance prediction using cross-OCR alignement

Ahmed Ben Sa l a h 1, Jea n-Ph i l i ppe Moreux, N ico l a s Ragot and Th ier ry Paquet2

1 Universite de Rauen, France

2 LITIS - Normandie University, France

#262 An Initial Study on the Construction of Ground Truth Binarized Images of Ancient

Palm Leaf Manuscripts

Made Wi ndu Anta ra Kes iman, Sophea P rum, Jea n-Ch r istophe Bu rie and Jean-Ma rc

Ogie r University of La Rochelle, France

#011 A Polar Stroke Descriptor for Classification of Historical Documents

Sheng He and La mbert Schomake r University of Groningen, Netherlands


Oral Session 2: Printed/Handwritten: Recurrent Neural Networks / Convolutional Neural

Networks



Chair: V incent Pou l a i n d 'Andecy ( ITESOFT, F ra nce)

#233 Parallel Sequence Classification using Recurrent Neural Networks and Alignment

Feder ico Ra ue, Wonm i n Byeon, Thomas B reue l a nd Ma rcus L iwicki University of Fribourg, Switzerland

#117 Bagging by Design for Continuous Handwriting Recognition Using Multi-Objective

Particle Swarm Optimization

Mahd i Hamdan i, Patr ick Doetsch and Herma nn Ney RWTH Aachen University, Germany

#305 Recognition of Historical Greek Poly tonic Scripts Using LSTM Networks

Foti n i S im ist i ra 1, Adnan U I Hassa n2, Vass i l i s Pa pavass i l iou , Bas i l i s Gatos3, Vass i l i s

l<atsou ros1 and Ma rcus L iwicki4

1 Athena Research and Innovation Center, Greece

2 University of Kaiserslautern, Germany

3 National Center for Scientific Research "Demokritos'� Greece

4 University of Fribourg, Switzerland

#033 Recognition Confidence Analysis of Handwritten Chinese Character with CNN

Meij u n He, Sh uye Zha ng, H u iyun Mao and L ia nwen J i n South China University of Technology, China

#187 Reconstruction Combined Training for Convolutional Neural Networks on

Character Recognition

Li Chen, Song Wa ng, Wei Fa n, Jun Sun a nd Satosh i Nao i Fujitsu R&D Center, China

#046 Multi-font Printed Chinese Character Recognition using Multi-pooling

Convolutional Neural Network

Zhuoyao Zhong, L ia nwen J i n and Ziyong Feng South China University of Technology, China


Oral Session 3: Document based Forensics



Chair: Se i i ch i Uch ida ( Kyushu U n ivers ity, J apan )

#205 Localized Forgery Detection in Hyperspectral Document Images

Zh ipe i Luo, Fa i sa l Shafa it a nd Ajma l M i a n University of Western Australia, Australia

#223 Chinese Character-level Writer Identification using Path Signature Feature,

DropStroke, and Deep CNN

Weixi n Ya ng, Lia nwen J i n and Manfe i Li u South China University of Technology, China

#251 Towards an Automatic On-Line Signature Verifier Using Only One Reference Per

Signer

Moises D iaz1, Andreas F i scher2, Rejean P l a mondon3 and M igue l A. Ferrer 1 Universidad de Las Palm as de Gran Canaria, Spain


3 Ecole Poly technique de Montreal, Canada

#110 Robust Score Normalization for DTW-Based On-Line Signature Verification

Andreas F i scher1, Mo i ses D ia/, Rejea n P l a mondon3 and M igue l A. Ferrer

#312


2 Universidad de Las Palm as de Gran Canaria, Spain


Localized Document Image Change Detection

Raj iv J a i n and David Doerma nn University of Maryland, USA

#287 Sparsely Sampled Binary Patterns for writer identification

Angue los N ico l aou, And rew David Bagdanov, Ma rcus L iwickil a nd D imosthen i s

Ka ratzas2


2 Computer Vision Center - Barcelona, Spain


Plenary Talk 2



Chair: B idyut B . Cha udhu ri ( l S I , Ko l kata, I nd i a )

The Role of Document Analysis in the Paperless Office: One perspective

David Doermann

Program Manager, Information Innovation Office (f20)

DARPA, USA

Abstract. For decades we have been hearing of the demise of document understanding as a result of the

"paperless office", yet automation has actually created more paper than we had a dozen years ago. One

question that we need to ask is "are we using paper the same way as we did before?" The fact is that the role

of paper is shifting, and the type of document analysis tasks that are most relevant moving forward are shifting

as well.

In recent years we have seen continued work on "conversion" to electronic representations, but we have also

seen traditional document analytics applied to electronic representations themselves. For example, work has

been published on indexing and retrieval of electronic sources from hard copy images as well as on the

analysis of PDF and HTML layout structure. These problems are only a small part of a much larger need to

extract information from material designed and organized for human, rather than machine, consumption.

This talk will highlight some of the current and evolving document analysis technologies that are required

even in the offices of the future. These types of technologies won't be rendered useless until we

fundamentally change the definition of a "document", which is not likely to occur nearly as quickly as some

have predicted.

Biography. David Doermann is a member of the research faculty at the University of Maryland College Park.

He received a B.Sc. degree in computer science and mathematics from Bloomsburg University in 1987, and a

M.Sc. degree in 1989 in the Department of Computer Science at the University of Maryland, College Park. He

continued his studies in the Computer Vision Laboratory, where he earned a Ph.D. in 1993. Since then, he has

served as co-director of the Laboratory for Language and Media Processing in the University of Maryland's

Institute for Advanced Computer Studies and as an adjunct member of the graduate faculty.

His team of researchers focuses on topics related to document image analysis and multimedia information

processing. Their recent intelligent document image analysis projects include page decomposition, structural

analysis and classification, page segmentation, logo recognition, document image compression, duplicate

document image detection, image-based retrieval, character recognition, generation of synthetic OCR data,

and signature verification. In video processing, projects have centered on the segmentation of compressed

domain video sequences, structural representation and classification of video, detection of reformatted video

sequences, and the performance evaluation of automated video analysis algorithms.

In 2002, Dr. Doermann received an Honorary Doctorate of Technology Sciences from the University of Oulu

for his contributions to digital media processing and document analysis research. He is a founding co-editor of

the International Journal on Document Analysis and Recognition, has the general chair or co-chair of over a

half dozen international conferences and workshops, and is the general chair of the International Conference

on Document Analysis and Recognition (ICDAR) to be held in Washington DC in 20 13. He has over 30

journal publications and over 160 refereed conference papers.

Dr. Doermann is currently on assignment with DARPA, the innovative funding arm of US government where

he runs programs on translation, speech processing, visual media reasoning and media forensics.


Poster Session 1


Locat io n : Foye r 300

Chair: Ha i ka l E I Abed (G I Z, Techn i ca l Tra i ne rs Co l l ege, Sa ud i Ara b ia )

-- Arabic Text Recognition

#030 Arabic Handwritten Words Off-line Recognition based on HMMs and DBNs

Akra m Khemi r i , Afef Kacem1, Abde l Be l a id2 and Mou rad E l l o um i 1 ENSIT Universite de Tunis, Tunisia

2 Universite de Lorraine - LORIA, France

#192 Arabic handwritten document preprocessing and recognition

Edga rd Cha mmas1, Chafic Mokbe l a nd La u rence Li kforma n-Su l em2

1 University of Balamand, Lebanon

2 Institut telecom/Telecom ParisTech, France

#270 Hybrid Word/Part-of-Arabic-Word Language Models for Arabic Text Document

Recognition

Moha med Faouz i Benzegh i ba, Ch r istopher Kermorva nt a nd Je rome Lou radou r A2iA, France

#297 Multi-stage HMM based Arabic text recognition with rescoring

I rfa n Ahmad and Gernot F i n k T U Dortmund, Germany

#373 Arabic handwritten texts clusterization based on feature relation graph (FRG)

Vlad i s l av Pavlov and Dm itry Sha lymov Saint-Petersburg State University, Russian Federation

-- Document based Forensics

#086 Author Identification by Automatic Learning

Jo rda n F re ry, Ch r ist i ne La rge ron and M i hae l a J ugana ru-Math ieu Ecole Nationale Superieure des Mines de St Etienne, France

#091 An Improved Artificial Immune Recognition System for Off-line Handwritten

Signature Verification

Yasm ine Serdouk, Hass iba Nemmour and Youcef Ch iba n i USTHB, Algeria

#136 A Subtractive Clustering Scheme for Text-Independent Online Writer

Identification

Gautam Si ngh and Su resh Sunda ra m Indian Institute of Technology Guwahati, India

#196 Subspace method with multi scale wavelet for recognition of printer property

Ta kesh i F u rukawa Forensic Science Laboratory, Ibaraki Prefectural Police Headquarters, Japan

#201 Writer Identification from Offline Isolated Bangia Characters and Numerals

Cha ndra nath Ada k and B idyut B. Cha udhu ri Indian Statistical Institute, India


#232 A Conditional Random Field Model for Font Forgery Detection

Roma i n Bertra nd1, Or io l Ra mos Te rrades2, Jean-Ma rc Ogie r1, Petra Gomez-Kramer

and Patr ick F ra nco 1 University of La Rochelle, France

2 Computer Vision Center - Barcelona, Spain

#322 Multilingual Signature Verification by Combined Segmentation Verification

Wata ru Ohya ma, Yu u ki Ogi, Tetsush i Wa ka bayash i and Fum ita ka Ki mu ra Mie University, Japan

#363 Writer Identification Using VLAD Encoded Contour-Zernike Moments

Vincent Ch r ist l e i n, David Bernecker a nd E l l i Ange lopou lou University Erlangen-Nuremberg, Germany

-- Document Image Analysis

#032 Binarizing Complex Scanned Documents

Rafae l Li ns, Ga br ie l S i lva a nd Ma rcos Ma rt ins de A lme ida Federal University of Pernambuco, Brazil

#143 A Multiple-Expert Binarization Framework for Multispectral Images

Reza Far ra h i Moghaddam and Moha med Che riet Univeristy of Quebec's ETS, Canada

#358 Confidence Measures for Seamless Skew and Orientation Detection in Document

Images

l u l i u Konya, Stefa n E icke l e r and Ch rist i a n B ra ndt Fraunhofer IAIS, Germany

#477 A new automatic framework for document image enhancement process based on

anisotropic diffusion

Moha med R iad Yagoubi , Amina Ser i r a nd Azedd i ne Beghdad i USTHB, Algeria (will b e presented by Hassiba Nemmour)

#485 Ink separation and visualisation in ancient manuscripts: Application of

hyperspectral imaging

Sony George and Jon Yngve Ha rdeberg Gj¢vik University College, Norway

-- Document Segmentation

#016 A Recognition based Approach for Segmenting Touching Components in Arabic

Manuscripts

Nab i l Aouad i, Afet Kacem1 and Abde l Be l a id2

1 ENSIT Universite de Tunis, Tunisia


#126 Goal-Oriented Performance Evaluation Methodology for Page Segmentation

Techniques

N i ko laos Sta matopou l os, Georgios Lou l oud i s and Ba s i l i s Gatos National Center for Scientific Research "Demokritos'� Greece


#129 Table Structure Extraction in Handwritten Chemistry Documents

Nab i l Ghanm i and Abde l Be l a id Universite de Lorraine - LORIA, France

#161 Document Skew Detection Based on Hough Space Derivatives

Fe l ix Sta h l be rg and Stepha n Voge l Qatar Computing Research Institute, Qatar

#245 A Semi-Automatic Groundtruthing Tool for Mobile-Captured Document

Segmentation

Joseph Chaza lon 1, Ma rc;:a l Rus i no l 2, Jean -Marc Ogie r1 and Josep L lados2

1 University of La Rochelle, France

2 Computer Vision Center, Spain

#279 Automatic and interactive rule inference without ground truth

Ceres Ca rton, Aure l i e Lema itre a nd Bertra nd Couasnon Irisa - University Rennes 2 , France

#281 Word Segmentation Using Wigner-Ville Distribution

E rgi na Kava l l i e ratou University of the Aegean, Greece

#327 Simplifying the Reading of Historical Manuscripts

Abede l kad i r Asi, Rafi Cohen, K l a ra Kedem and J i had E I -Sa na Ben-Gurion University o f the Negev, Israel

#335 No threshold, no parameter. A prelude.

Sebast ien Eskenaz i , Petra Gomez-Kramer and Jean-Ma rc Ogie r University of La Rochelle, France

#370 The ENP Image and Ground Truth Dataset of Historical Newspapers

Ch r ist i a n C l ausner, Stefa n P letschacher, Chr i stos Papadopou l os and Aposto los

Antonacopou los PRimA - University of Salford, United Kingdom

#448 A Performance Evaluation of NSHP-HMM based on conditional zone observation

probabilities: Application to offline handwriting word recognition

Ha nene Bou kerma, Ch r istophe Cho isy, Abda l l a h Benoua reth and Nad i r Fa ra h Ecole Normale Superieur de I'Enseignement Technologique (ENSET), Skikda, Algeria

-- Graphics Analysis and Recognition

#020 Towards a Sign Writing Recognition System

Diego Stie h l , Lu iz S. O l ive i ra , Cayley Gu ima raes and Alceu S. B r itto J r Pontiufical Catholic University of Parana, Brazil

#073 Document Analysis by a Mobile Robot for Autonomous Indoor Navigation

Da l i a Ma rce la Rojas Castro, Arnaud Reve l a nd M iche l Mena rd University of La Rochelle, France

#156 Speech balloon and speaker association for comics and manga understanding

Chr i stophe Rigaud1, N am Le Tha n h1, Jea n-Ch r istophe Bu r ie1, Jean -Marc Ogie r1, Motoi

Iwata, E i k i I mazu and Ko ich i K ise2


2 Osaka Prefecture University, Japan


-- Document Understanding

#052 Classification of Forms with Similar Layouts by Using the Mixed Gaussian

Weighted Mask (MGWM)

S imeng Wa ng, L ia ngca i Gao and Yuehan Wa ng Peking University, China

#124 Classifier Self-Assessment: Active Learning and Active Noise Correction for

Document Classification

Dom i n i k Hente r, Arm i n Sta h l , Ma rkus Ebbecke and M ichae l G i l lm a nn Insiders Technologies GmbH, Germany

#141 Automatic Annotation Extension and Classification of Documents Using a

Probabilistic Graphical Model

Abdessa lem Bouza i en i , Sa b ine Ba rrat a nd Sa lvatore Ta bbone Universite de Lorraine - LORIA, France

#443 Supporting Early Contextualization of Textual Content in Digital Documents on the

Web

Bahaa E ldesouky, Menna Bakry, He i ko Maus and Andreas Denge l DFKI - German Research Center for Artificial Intelligence, Germany

#445 A Hybrid Approach to Discover Semantic Hierarchical Sections in Scholarly

Documents

Suppawong Tua rob, P rasenjit M itra and C. Lee G i les Qatar Computing Research Institute, HBKU, Qatar

-- Convolutional/Recurrent Network Models

#044 Text-independent Writer Identification Using SIFT Descriptor and Contour

directional Feature

Yu-J i e X iong, Y ing Wen, Patr ick S . P . Wa ng a nd Vue Lu East China Normal University, China

#153 A combined Convolutional Neural Network and Dynamic Programming approach

for text line normalization

Joan Pasto r-Pe l l i cer, Sa lvador Espa na-Boquera, Ma ria Jose Castro-B ieda and

F ra nc isco Za mora -Martinez Universitat Politecnica de Valencia, Spain

#170 Segmented Handwritten Text Recognition with Recurrent Neural Network

Classifiers

Bo l a n Su, Xi Zha ng, Sh ij i a n Lu and Chew Lim Ta n National University of Singapore, Singapore

#188 Deep Learning Based Language and Orientation Recognition in Document Analysis

Li Chen, Song Wa ng, Wei Fa n, Jun Sun a nd Satosh i Nao i Fujitsu R&D Center, China

#195 BLSTM-based handwritten text recognition using Web resources

Cr ist i na Oprea n, La u rence Li kforma n-Su lem, Chafic Mokbe l a nd Ad r ia n Popescu Institut telecom/Telecom Paris Tech, France


#273 Where to Apply Dropout in Recurrent Neural Networks for Handwriting

Recognition?

Theodore B l uche, Ch r istopher Kermorva nt a nd Je rome Lou radou r A2iA France

#332 Writer Adaptive Feature Extraction Based on Convolutional Neural Networks for

Online Handwritten Chinese Character Recognition

J u n Du, J i a n-Fa ng Zha i , J i n-Shu i H u, Bo Zhu, S i Wei a nd Li rong Da i University of Science and Technology of China, China

#372 A hypothesize-and-verify framework for text recognition using Deep Recurrent

Neural Network

Anupama Ray, Sa i Rajeswa r and Sa nta n u Cha udhu ry Indian Institute of Technology Delhi, India

#397 Can RNNs Reliably Separate Script and Language at Word and Line Level?

Ajeet Kumar S i ngh and Jawaha r C V lilT Hyderabad, India


Oral Session 4: Word Spotting 1/ Text Detection



Chair: Aposto los Antonacopou los ( U n ivers ity Sa lfo rd, U n ited K ingdom)

#283 Improving OCR for an Under-Resourced Script Using Unsupervised Word-Spotting

Ad i S i l be rpfenn ig, L ior Wo lf, Nach um Dershowitz, Se raogi Bhagesh and B idyut B .

Cha udhu ri Indian Statistical Institute, India

#200 Novel Line Verification for Multiple Instance Focused Retrieval in Document

Collections

Hongxi ng Gao\ Ma rca l Rus i no l 2, D imosthen i s Ka ratzas2, Josep L lados2, Raj iv J a i n and

David Doerma nn3

1 HikVision Co. Ltd., China


3 University of Maryland, USA

#234 One-shot field spotting on colored forms using subgraph isomorphism

Maroua Hammam i 1, P ie rre He roux, Sebastien Ada m and Vi ncent Pou l a i n d 'Andecl 1 LITIS, France

2 Yooz, France

#292 Probabilistic Interpretation and Improvements to the HMM-Filler for Handwritten

Keyword Spotting

Joan Pu igcerve r, A lej and ro Hecto r Tose l l i a nd En rique Vida l Universitat Politecnica de Valencia, Spain

#100 Using histogram representation and Earth Mover's Distance as an evaluation tool

for text detection

Stefa n i a Ca l a rasa n u, Jonatha n Fa briz io and Sever i ne Dubu isson UPMC-LlP6, France

#207 Towards Query-by-Speech Handwritten Keyword Spotting

Marca l Rus ino l , Dav id Aldavert, R ica rdo To ledo and Josep L lados Computer Vision Center, Spain


Oral Session 5: Printed/Handwritten: Convolutional Neural Network / Deep Learning



Chair: La u rence Li kforman-Su l em (Te l ecom Pa r isTech/TS I )

#466 DeepDocClassifier: Deep Convolutional Neural Networks for Document Image

Classification

Muhammad Zeshan Afza l 1, Sa mue le Ca pob ia nco, Muhammad I m ra n Ma l i k, Thomas

Breue l , Andreas Denge l 2, Ma rcus L iwicki 3 a nd S imone Mar i na i4

1 University of Technology Kaiserslautern Germany

2 DFKI - German Research Center for Artificial Intelligence, Germany


4 University of Florence, Italy

#404 Evaluation of Deep Convolutional Nets for Document Image Classification and

Retrieval

Ada m Ha r ley, A lex Ufkes a nd i<onsta nti nos Derpa n i s Ryerson University, Canada

#106 Stretching Deep Architectures for Text Recognition

Yuchen Zheng, Yaj u an Ca i, Guoqia ng Zhong, Chherawa la Youssouf, Yaxi n Sh i a nd

J u nyu Dong Ocean University of China, China

#333 High Performance Offline Handwritten Chinese Character Recognition Using

GoogLeNet and Directional Feature Maps

Zhuoyao Zhong, L ia nwen J i n and Zecheng Xie South China University of Technology, China

#365 Deep BLSTM Neural Networks for Unconstrained Continuous Handwritten Text

Recognition

Vo l kma r F r i n ken and Se i i ch i Uch ida Kyushu University, Japan


Oral Session 6: Document Analysis I



Chair: E l isa H . Ba rney-Sm ith ( Bo ise State U n ive rsity, USA)

#447 Table information extraction and structure recognition using query patterns

Thotre i nga m Kasa r, Ta pa n Kumar Bhowm i k and Abde l Be l a id Universite de Lorraine - LORIA, France

#134 Preselection of Support Vector Candidates by Relative Neighborhood Graph for

Large-Scale Character Recognition

Masa nori Goto1, Ryosuke I sh ida and Se i i ch i Uch ida2

1 GLORY L m., Japan

2 Kyushu University, Japan

#160 Detecting Dense Foreground Stripes in Arabic Handwriting for Accurate Baseline

Positioning

Fe l ix Sta h l be rg and Stepha n Voge l Qatar Computing Research Institute, Qatar

#219 Influence of Text Line Segmentation in Handwritten Text Recognition

Veron i ca Romero, Joan Andreu Sa nchez, Vicente Bosch, Katr ien Depuydt and Jesse de

Does Universitat Politecnica d e Valencia, Spain

#348 Date Field Extraction from Handwritten Documents Using HMMs

Ra nj u Ma nda i , Pa rtha Roy\ U mapada Pa l 2 a nd M ichae l B l umenste i n 1 Indian Institute of Technology Roorkee, India

2 Indian Statistical Institute, India

#147 Robust Text Segmentation using Graph Cut

Shangxuan T ian , Sh ij i a n Lu, Bo l a n Su and Chew Lim Ta n National University of Singapore, Singapore

Tuesday, August 25, 2015

Oral Session 7: Online Handwriting

Time : Tuesday, August 25, 2015, 08:20 - 09:40


Chair: Rejea n P l amondon ( Eco le Po ly techn ique de Montrea l , Ca nada )

#028 Online Handwritten Tibetan Syllable Recognition based on Component

Segmentation Method

Long-Long Ma and J i a n Wu Institute o f Software, Chinese Academy o f Sciences, China

#190 Learning Non-Markovian Constraints for Handwriting Recognition

Ryosu ke I<a kisa ko, Se i i ch i Uch ida a nd Vo l kma r F r i n ken Kyushu University, Japan

#127 Improving Sigma-Lognormal Parameter Extraction

Dan ie l Ma rtin-A lbo1, Rejea n P l a mondon2 and En rique Vida l3

1 PRHLT Research Center, Spain


3 Universitat Politecnica de Valencia, Spain

#224 Improved Deep Convolutional Neural Network For online Handwritten Chinese

Character Recognition using Domain-Specific Knowledge

Weixi n Ya ng, Lia nwen J i n, Zecheng X ie and Ziyong Feng South China University of Technology, China


Oral Session 8: Word Spotting II



Chair: Th ie rry Paq uet ( L IT IS - U n ivers ity of Rouen, F ra nce )

#169 Inkball Models for Character Localization and Out-of-Vocabulary Word Spotting

N icho las Howe Smith College, USA

#267 Segmentation-free Query-by-String Word Spotting with Bag-of-Features HMMs

Leona rd Rothacker and Ge rnot A. Fi n k T U Dortmund University, Germany

#311 Handwritten Word Spotting by Inexact Matching of Grapheme Graphs

Pau R i ba F ie r rez, Josep L lados and A l i c i a Fornes Computer Vision Center - Barcelona, Spain

#402 Adapting Off-the-Shelf CNNs for Word Spotting & Recognition

Arj u n Sha rma and Pramod Sa n ka r Kompa l l i Xerox Research Center India, India


Oral Session 9: Document Analysis II



Chair: E rgi na Kava l l i e ratou ( U n ivers ity of the Aegea n, G reece)

#111 A proposal of a document image reading-life log based on document image

retrieval and eyetracking

O l iv ier Augereau, Ko ich i K ise and Kensuke Hosh i ka Osaka Prefecture University, Japan

#193 Paragraph text segmentation into lines with Recurrent Neural Networks

Bast ien Moysset, Ch r istopher Ke rmorva nt, Ch r ist i a n Wolf and Je rome Lou radou r A2iA, France

#399 Visual Appearance based Document Classification Methods: Performance

Evaluation and Benchmarking

Syed Saqi b Bukha ri a nd Andreas Denge l DFKI - German Research Center for Artificial Intelligence, Germany

#083 Document Image Quality Assessment based on Improved Gradient Magnitude

Similarity Deviation

Al i reza A lae i , Donate l l o Conte and Roma i n Ravea ux Universite Franr;ois-Rabelais de Tours, France


Plenary Talk 3



Chair: Moha med Che riet ( ETS, Montrea l , Ca nada )

Entity-Centric Data Management

Philippe Cudre-Mauroux

University oj Fribourg, Switzerland

Abstract. Until recently, structured (e.g., relational) and unstructured (e.g., textual) data were managed very differently:

Structured data was queried declaratively using languages such as SQL, while unstructured data was searched using

boolean queries over inverted indices. Today, we witness the rapid emergence of entity-centric techniques to bridge the

gap between different types of content and manage both unstructured and structured data more effectively. 1 will start this

talk by giving a few examples of entity-centric data management. I will then describe two recent systems that were built

in my lab and revolve around entity-centric data management techniques: Zen Crowd, a socio-technical platform that

automatically connects HTML documents to semi-structured entities, and TripleProv, a scalable, efficient, and

provenance-enabled back-end to manage graphs of entities.

Biography. Philippe Cudre-Mauroux is a Swiss-NSF Professor and the director of the eXascale lnfolab at the University

of Fribourg in Switzerland. Previously, he was a postdoctoral associate working in the Database Systems group at MIT.

He received his Ph.D. from the Swiss Federal Institute of Technology EPFL, where he won both the Doctorate Award

and the EPFL Press Mention in 2007. Before joining the University of Fribourg, he worked on distributed information

and media management for HP, IBM Watson Research (NY), and Microsoft Research Asia. He was Program Chair of

the International Semantic Web Conference in 2012 and General Chair of the International Symposium on Data-Driven

Process Discovery and Analysis in 2012 and 2013. He recently won the Verisign Internet Infrastructures Award, a Swiss

National Center in Research award, as well as a Google Facutly Research Award. His research interests are in next

generation, Big Data management infrastructures for non-relational data. Webpage: http://exascale.info/phil


Oral Session 10: Graphics Analysis and Recognition



Chair: Ba rt La m i roy ( U n iv . of. Lo rra i ne-LOR IA, F rance )

#189 Exploring the World of Fonts for Discovering the Most Standard Fonts and the

Missing Fonts

Se i i ch i Uch ida , Yuj i Ega sh i ra and Kota Sato Kyushu University, Japan

#101 A Bottom-up Method Using Texture Features and a Graph-based Representation

for Lettrine Recognition and Classification

Maroua Meh ri , Petra Gomez-Kramer, P ie rre He roux, M ickae l Coustaty, J u l i e n Le rouge

and Remy Mu l l ot University of La Rochelle, France

#181 A Fast Color Barcode Detection Method through Cross Identification on Mobile

Platforms

Yu Zha ng and Tong Lu Nanjing University, China

#289 Attributed Graph Grammar for Floor Plan Analysis

Ll uis-Pere De Las He ras, Or io l Ramos Te rrades and Josep L lad6s Computer Vision Center - Barcelona, Spain

#302 Content-based Comic Retrieval Using Multilayer Graph Representation and

Frequent Graph Mining

Tha nh Nam Le, Muhammad M uzzam i l Lugma n, Jea n-Ch r istophe Bu rie and Jean -Marc

Ogier University of L a Rochelle, France


Oral Session 11: Printed/Handwritten: Recurrent Models



Chair: Vo l ke r Margner (Techn ische U n ive rsitat B ra u nschweig, Germany )

#197 Training an Arabic handwriting recognizer without a handwritten training data set

I rfa n Ahmad and Gernot F i n k T U Dortmund University, Germany

#432 Unconstrained Bengali Handwriting Recognition with Recurrent Models

Utpa l Ga ra i n, Luc M iou l et, B idyut Ba ra n Cha udhu ri 1, C lement Chate l a i n and Th ier ry

Paquee 1 Indian Statistical Institute, India


#246 Hidden Markov model topology optimization for handwriting recognition

Nuria Ci rera, A l i c i a Fornes and Josep L lados Computer Vision Center - Barcelona, Spain

#331 ALTID: Arabic/Latin Text Images Database for recognition research

I men Chtou rou, Ahmed Che ikh Rouhou, Faten Ka l l e l a nd S l im Ka noun EN/S, Tunisia

#166 Content-Independent Font Recognition on a Single Chinese Character using Sparse

Representation

Wei ka ng Song, Zhouhu i Li a n, Y ingm i n Ta ng and J i a nguo X iao Institute o f Computer Science and Technology, Peking University, China


Oral Session 12: Document Analysis III



Chair: Rolf I ngo ld ( U n iv . F r i bou rg, Switze r l and )

#409 Gradient-Domain Degradations for Improving Historical Documents Images Layout

Analysis

Math ias Seu ret, Ka i Chen, N ico le E i chenberge r, Ma rcus L iwicki and Ro lf I ngo ld University of Fribourg, Switzerland

#412 Page Segmentation of Historical Document Images with Convolutional

Autoencoders

Ka i Chen, Math ias Seu ret, Ma rcus L iwicki , Jean Hennebe rt and Ro lf I ngo ld University of Fribourg, Switzerland

#235 DASyR(IR) - Document Analysis System for Systematic Reviews (for Information

Retrieval)

F lo r i na P i ro i , A ldo Li pa n i , M i h a i Lupu and Al l a n Hanbu ry Vienna University of Technology, Austria

#387 Color Structure Recovering in Strong Specular Text Regions

Ta m Nguyen, G ueeSa ng Lee, Hu an Nguyen N h u, Thuc Nguyen D i nh HCMC University of Science, Vietnam

#010 Automatic Extraction of Correlation-Entropy Features for Text Document Analysis

Directly in Run-Length Compressed Domain

Mohammed Javed1, P Naga bhushan and B idyut Ba ra n Cha udhu ri2

1 University of Mysore, India



Plenary Talk 4



Chair: Abde l Be la 'ld ( U n iv. of Lo rra i ne-LOR IA, France)

Document Analysis Meets Activity Recognition: A New

Paradigm of Analyzing Documents in Combination With

Users' Reading Behavior

Koichi Kise

Osaka Prefecture University, Japan

Abstract. As a new paradigm of research in the field of document analysis, T propose a notion of mutual analysis of

documents and activities. Documents have been the single entity to be analyzed in the field. However their values cannot

be fully estimated by just looking at their contents. People obtain information from documents by the activities of

reading. The key to analyze documents for their values is in this point. The analysis of human reading activities gives us

a way to obtain additional information on the contents of documents such as interesting and difficult. On the other hand,

by augmenting the reading activities by the contents, we are able to know more about actors of these activities such as

personal preferences.

In my talk I show some work on this topic including estimating the number of words read (wordometer), the type of

documents and the level of understanding, as well as document annotations by reading behavior. I would also like to

show some important open problems to be shared with the audience for discussion.

Biography. Koichi Kise received his B.E., M.E. and Ph.D. degrees in communication engmeermg from Osaka

University, Osaka, Japan in 1986,1988 and 1991, respectively.

From 2000 to 2001, he was a visiting professor at German Research Center for Artificial lntelligence (DFKI), Germany.

He is now a Professor of the Department of Computer Science and Intelligent Systems, Osaka Prefecture University,

Japan.

He received awards including the best paper award of lEICE in 2008, the IAPRlICDAR best paper awards in 2007 and

2013, the TAPR Nakano award in 2010, the TCFHR best paper award in 2010 and the ACPR best paper award in 2011.

He is now working as the chair of the TAPR technical committee 11 (reading systems) and a member of the TAPR

conferences and meetings committee. His major research activities are in analysis, recognition and retrieval of

documents, images and activities.


Poster Session 2


Locat io n : Foye r 300

Chair: Bertra nd Couasnon ( I r isa / I nsa, F ra nce)

-- Handwriting Analysis and Recognition

#025 Class-Adaptive Zoning Methods for Recognizing Handwritten Digits and Characters

Donato I mpedovo and G i useppe P i r l o Dipartimento di Informatica, Universita di Bari, Italy, Italy

#039 Cost-sensitive MQDF Classifier for Handwritten Chinese Address Recognition

Shujing LU\ X iaohua Wei and Vue Lu2

1 Shanghai Research Institute of China Post Group, China

2 fast China Normal University, China

#047 Similarity-based Regularization for Semi-Supervised Learning for Handwritten

Digit Classification

Donato Barbuzz i , G i useppe P i r lo 1, Se i i ch i Uch ida2, Vo l kma r F r i n ken and Donato

I mpedovo 1 Dipartimento di Informatica, Universita di Bari, Italy, Italy


#064 An Open Source Testing Tool for Evaluating Handwriting Input Methods

L iq uan Qi u, Li a nwen J i n, Ru ifen Da i , Vuxi a ng Zha ng a nd Le i Li South China University of Technology, China

#323 Tackling Pattern Recognition by Vector Space Embedding

Br ia n Iwa na, Se i i ch i Uch ida , Kaspa r R iesen and Vo l kma r F r i n ken Kyushu University, Japan

#360 Arabic Ligatures: Analysis and Application in Text Recognition

Vousef E l a r i a n 1, I rfa n Ahmad2, Sa meh Awa ida, Wasfi A I -Khat i b and Abde lma l e k

Z idou ri 1 Jazan University, Saudi Arabia

2 TU Dortmund, Germany

#385 Crossing the lines: making optimal use of context in line-based Handwritten Text

Recognition

Jata r Ta n ha, J esse de Does\ Katrie n Depuydt and Joan Andreu Sa nchez2

1,NL, Netherlands 2 Universitat Politecnica de Valencia, Spain

#414 CNN Based Common Approach to Handwritten Character Recognition of Multiple

Scripts

Du rjoy Sen Ma itra, Ujjwa l Bhattacha rya and Swapa n Kr . Pa ru i Indian Statistical Institute, India

#431 Trajectory Recovery and Stroke Reconstruction of Mathematical Symbols

Beh ra ng Sabegh i Sa rou i a nd Vo l ke r So rge University of Birmingham, United Kingdom

#437 Evaluation of Techniques for Signature Classification from Accelerometer and

Gyroscope data

Lukas Tencer, Ma rta Rezna kova and Moha med Che riet Univeristy of Quebec's fTS, Canada


#468 Age, Gender and Handedness Prediction from Handwriting using Gradient

Features

Nesr ine Bouadjenek, Hass iba Nemmour and Youcef Ch i ba n i USTHB, Algeria

-- Off-line/on-line Handwriting

#148 Isolated Character Recognition using Projections of Oriented Gradients

George Rets i nas, Bas i l i s Gatos, N i ko l aos Sta matopou l os and Georgios Lou loud i s National Center for Scientific Research "Demokritos'� Greece

#178 Study of Two Zone-based Features for Online Bengali and Devanagari Character

Recognition

Rajib Ghosh 1 and Pa rtha P rat im Rol 1 National Institute of Technology Patna, India

2 Indian Institute of Technology Roorkee, India

#243 A Complete Automatic Short Answer Assessment System with Student

Identification

Hemmaphan Suwa nwiwat1, U mapada Pa l 2 a nd M ichae l B l umenste i n 1 Griffith University, Australia


#277 Writer Adaptation of Online Handwriting Recognition using Adaptive RBF

Network

Su rabh i Raje, Kapi l Meh rotra and Swapn i l Be lhe CDAC, India

#349 Joint Denoising and Magnification of Noisy Low-Resolution Textual Images

R im Wa l ha, Fadoua Dr i ra , F ra nck Lebourgeo is, Ade l M. Al im i and Ch r istophe Ga rc ia INSAVALOR URIS de Lyon, France

#435 Online Handwriting Recognition using Depth Sensors

Rajat Agga rwa l , S i rna m Swetha, Anoop M . Namboodi r i , Jaya nth i Sivaswa my and C. v.

Jawaha r lilT Hyderabad, India

-- Historical Document Processing

#056 A Structural Signature Based on Texture for Digitized Historical Book Page

Categorization

Maroua Meh ri , P ie rre He roux, J u l i e n Le rouge, Petra Gomez-Kramer and Remy Mu l l ot University of La Rochelle, France

#062 Seamless Stitching with Shape Deformation for Historical Document Images

Wei Li u, Wei Fan, Li Chen, J u n Sun and Naoi Satosh i Fujitsu R&D Center, China

#119 Aligning transcript of historical documents using energy minimization

Rafi Cohen, I r i n a Rabaev, I ts hak D i nste i n, J i had E I -Sa na and K l a ra Kedem Ben-Gurion University of the Negev, Israel


#155 A segmentation free Word Spotting for handwritten documents

N ico le Vi ncene, Ada m G horbe l 1 a nd Jean-Ma rc Ogie r2

1 Paris Descartes University, France


#157 Graph matching versus bag of graph for lettrines recognition

Mickae l Coustaty and Jean -Marc Ogie r University of La Rochelle, France

#284 Viral Transcript Alignment

G i l Sadeh, Lio r Wo lf, Ta l Hassner, Da n ie l Stoek l a nd Nachum Dershowitz EPHE-Sorbonne, France

#396 Noise Characterization in Ancient Document Images Based on DCT Coefficient

Distribution

F itr i Arn ia , Fa rd i a n Fa rd i a n, Sayed M ucha l l i l and Kha i r u l Munad i Syiah Kuala University, Indonesia

#413 Word of Blobs

J i had E I -Sa na and Kl a ra Kedem Ben-Gurion University of the Negev, Israel

-- Language Modeling

#023 Combination of Multiple Aligned Recognition Outputs using WFST and LSTM

Mayce AI Azawi 1, Ma rcus L iwicki2 a nd Thomas M Breue l 1 ZIT, Germany


#072 Using Multiple Sequence Alignment and Statistical Language Model to Integrate

Multiple Chinese Address Recognition Outputs

Shengchang Chen, Shujing LU\ Y ing Wen and Yue Lu2

1 Shanghai Research Institute of China Post Group, China

2 East China Normal University, China

#113 The Eye as the Window of the Language Ability: Estimation of English Skills by

Analyzing Eye Movement While Reading Documents

Kazuyo Yosh imu ra, Ka i Ku nze and Ko ich i K ise Osaka Prefecture University, Japan

#330 Optical Modelling and Language Modelling Trade-off for Handwritten Text

Recognition

Mau ric io Vi l l egas, Joa n Andreu Sa nchez and En rique Vida l Universitat Politecnica de Valencia, Spain

#424 Planar Markovian Approach for the Recognition of a Wide Vocabulary of Arabic

Decomposable Words

I men Ben Che ikh and I men A l l agu i LaT/CE, Tunisia


-- Long Short-Term Memory Networks

#092 Benchmarking discriminative approaches for word spotting in handwritten

documents

Gaut ier B idea u lt, Luc M iou l et, C lement Chate l a i n a nd Th ier ry Paquet LITIS - Normandie University, France

#180 A Context-Sensitive-Chunk BPTT Approach to Training Deep LSTM/BLSTM

Recurrent Neural Networks for Offline Handwriting Recognition

Ka i Chen, Zh i -J i e Va n and Qia ng Huo Microsoft Research Asia, China

#194 A Study on Effects of Implicit and Explicit Language Model Information for

DBLSTM-CTC Based Handwriting Recognition

Qi L iu , Lij u a n Wang and Qia ng Huo Microsoft Research Asia, China

#407 Curriculum Learning for Printed Text Line Recognition of Ligature-based Scripts

Adnan U I -Hasa n 1, Fa i sa l Shafa ie and Ma rcus L iwicki 3

1 University of Kaiserslautern, Germany

2 University of Western Australia, Australia


#422 Deep Learning and Recurrent Connectionist-based Approaches for Arabic Text

Recognition in Videos

Son i a Yousfi, S id-Ahmed Be rra n i a nd Ch r istophe Ga rc ia Orange Labs, France

#428 A Sequence Learning Approach for Multiple Scripts Identification

Adnan U I -Hasa n 1, M u hammad Zeshan Afza l\ Fa isa l Shafa ie, Ma rcus Liwick i 3 a nd

Thomas B reue l 1 University of Kaiserslautern, Germany



#455 Scale and Rotation Invariant OCR for Pashto Cursive Script using MDLSTM

Network

R iaz Ahmad, Muhammad Zeshan Afza l 1, She ikh Fa i sa l Rash id , Ma rcus Liwi cki2 a nd

Thomas B reue l 1 University of Technology Kaiserslautern, Germany


#473 Binarization-free OCR for Historical Documents Using LSTM Networks

Moham mad Reza Yousefi, Mohammad Reza Sohe i l i , Thomas M. Breue l , Ehsano l l a h

Ka b i r a nd D i d i e r Str icke r German Research Center for Artificial Intelligence, Germany

-- Graphics Analysis and Recognition

#096 Topological Simplification of Electrical Circuits by Super-component Analysis

Param ita De, Sekha r Ma nda i , Pa rtha Bhowmick and Bha batosh Chanda Indian Institute of Engineering Science and Technology, Shibpur, India


#211 Representation and Reconstruction of Map Regions

Sa m it B iwas, Sekha r Manda i a nd Amit Kumar Das Indian Institute of Engineering Science and Technology, Shibpur, India

#268 Automated Scoring of Bender Gestalt Test Using Image Analysis Techniques

Momina Moetesum, I m ra n S idd i q i , Uzma Masroor and Chawki Djedd i Larbi Tebessi University, Algeria

#315 Overlapped-Triangle Analysis with Hierarchical Ranking of Dominance

Xiaoqi ng Lu, Lu Li u, Zhi Ta ng, Ha i b i n Li ng and J i ngwe i Qu Peking University, China

#316 Automated Analysis of Line Plots in Documents

Rath i n Radha kri s hnan Na i r, N i s hant Sa n ka ra n, I feoma Nwogu and Venu Govi nda raju SUNY Buffalo, USA

#319 Chart Classification by Combining Deep Convolutional Networks and Deep Belief

Networks

Li u X iao, Ta ng B i nb i n, Wang Zhenya ng, Xu X ianghua , Pu Sh i l i a ng, Tao Da peng a nd

Song M i ng l i ZheJiang University, China

#486 Visual Graph Analysis for Quality Assessment of Manually Labelled Documents

Image Database

Roma i n G iot, Roma i n Bourqu i , N icho las Jou rnet and Anne Via l a rd LaBRI - Univ. Bordeaux, France


Oral Session 13: Printed/Handwritten: Script-Vocabulary Recognition



Chair: Umapada Pa l ( l S I , Ko l kata, I nd i a )

#392 A Sigma-Lognormal Model for Character Level handwritten CAPTCHA Generation

Cheta n Ra ma i ah, Rejean P l a mondon1 a nd Ven u Govi nda raju2


2 SUNY Buffalo, USA

#014 Co-occurrence Matrix of Oriented Gradients for Word Script and Nature

Identification

Asma Sa ida n i , Afet Kacem1 and Abde l Be l a id2



#374 A Segmentation-Free Approach for Printed Devanagari Script Recognition

Tusha r Ka rayi l , Adnan U I -Hasan and Thomas B reue l University of Kaiserslautern, Germany

#254 A Comparative Study of Features for Handwritten Bangia Text Recognition

Aya n Kumar Bhun ia , Aya n Das, Pa rtha P rat im Ro/ a nd Umapada Pa l 2

1 Indian Institute of Technology Roorkee, India


#078 Evaluation of Neural Network Language Models in Handwritten Chinese Text

Recognition

Vi-Chao Wu, Fe i V in and Cheng-Li n Li u Institute of Automation of Chinese Academy of Sciences, China

#480 Word-level Script Identification for Handwritten Indic scripts

Pawa n Kuma r S i ngh, Ra m Sa rka r, M ita Nas i pu ri a nd David Doermann University of Maryland, USA


Oral Session 14: Printed/Handwritten: Applications



Chair: Ven u Govi nda raj u ( U n ivers ity at Buffa lo, USA)

#013 Solving Substitution Ciphers for OCR with a Semi-supervised Hidden Markov

Model

E r i k Scha rwachter1 and Stepha n Voge l 2

1 Qatar Computing Research Institute, Germany

2 Qatar Computing Research Institute, Qatar

#179 Building Handwriting Recognizers by Leveraging Skeletons of Both Offline and

Online Samples

Xiong Zha ng, M i n Wa ng, Lij u a n Wa ng, Qia ng Huo and Ha ifeng Li Microsoft Research Asia, China

#080 Segmentation-free Handwritten Chinese Text Recognition with LSTM-RNN

Rona ldo Mess ina and Je rome Lou radou r A2iA, France

#118 Investigation of Segmental Conditional Random Fields for Large Vocabulary

Handwriting Recognition

Mahd i Hamdan i, Mahaboob A l i Basha Sha i k, Patr ick Doetsch and Herma nn Ney RWTH Aachen University, Germany

#041 Framewise and CTC Training of Neural Networks for Handwriting Recognition

Theodore B l uche1, Herma nn Nel, J e rome Lou radou r1 and Ch ristopher Ke rmorva nt 1 A2iA, France

2 RWTH Aachen University, Germany

#042 The LlMSI Handwriting Recognition System for the HTRtS 2014 Contest

Theodore B l uche1, Herma nn Nel and Ch r istopher Ke rmorva nt 1 A2iA, France

2 RWTH Aachen University, Germany


Oral Session 15: Document Understanding



Chair: Ko ich i K ise (Osa ka P refectu re U n ivers ity )

#034 Multi-Strategy Tracking Based Text Detection in Scene Videos

Ze-Yu Zuo, Shu T ian , Wei-Vi Pe i a nd XU-Cheng Y in University of Science and Technology Beijing, China

#353 Automatic Discrimination of Text and Non-Text Natural Images

Chengguan Zha ng, Cong Yao, Baogua ng Sh i a nd X ia ng Ba i Huazhong University of Science and Technology, China

#128 Efficient Text Localization in Born-Digital Images by Local Contrast-Based

Segmentation

Ka i Chen, Fe i Y in , Am i r H ussa i n and Cheng-L in Li u Chinese Academy of Sciences, China

#217 Automatic Script Identification in the Wild

Baoguang Sh i , Cong Yao, Chengq uan Zha ng, X iaowei G uo, Fe iyue H uang a nd X ia ng Ba i Huazhong University of Science and Technology, China

#295 Efficient Scene Text Localization and Recognition with Local Character Refinement

Lukas Neumann and Jil'f Matas Czech Technical University in Prague, FEE, Czech Republic

#366 Robust Seed-Based Stroke Width Transform for Text Detection in Natural Images

Feng Su and Ha i l i a ng Xu Nanjing University, China

VVednesday, August 26, 2015

Poster Session 3

Time : Wednesday, August 26, 2015, 08:30 - 09:30

Locat io n : Sa l on 200

Chair: Afef Kacem ( U n ivers ity of Tun is, LaT ICE, Tu n is, Tu n i s i a )

-- Text Analysis and Extraction

#051 Text Detection in Nature Scene Images Using Two-stage Nontext Filtering

Qi ngq i ng Wa ng, Vue Lu and Sh i l i a ng Sun East China Normal University, China

#089 Text Line Extraction in Document Images

Li u an Wa ng, H i rosh i Ta na ka, Wei Fan, J u n Sun and Satsh i Nao i Fujitsu R&D Center, China

#203 Generation of synthetic training data for handwritten Indic script recognition

Sh iva nsh Gau r, S idd hant Sonka r and Pa rtha Roy Indian Institute of Technology Roorkee, India

#231 Text-Graphics Separation to Detect Logo and Stamp from Color Document Images:

A Spectral Approach

Amit Na ndedka r, J aya nta M ukhopadhyay and Sha m i k Sura l Indian Institute of Technology, India

#259 GRPOLY-DB: An Old Greek Poly tonic Document Image Database

Bas i l i s Gatos1, N i ko l aos Sta matopou los, Georgios Lou loud is, G io rgos Sfi kas, George

Rets i nas, Foti n i S im ist ira, Vass i l i s Pa pavass i l i ou and Vass i l i s Katsou ros2

1 National Center for Scientific Research "Demokritos'� Greece

2 Athena Research and Innovation Center, Greece

#308 Text Zone Classification using Unsupervised Feature Learning

N iba l Nayef and Jean -Marc Ogie r University of La Rochelle, France

#324 MRF Based Text Binarization in Complex Images using Stroke Feature

Va nna Wa ng, Cunzhao Sh i , Ba i h ua X iao and Chu n heng Wa ng Institute of Automation, Chinese Academy of Sciences, China

#452 Text and Non-text Segmentation using Connected Component-based Features

Viet Ph uong Le, N i b a l Nayef, Mu rie l Visa n i , J ean -Marc Ogie r a nd Cao De Tra n University of La Rochelle, France

-- OCR

#037 Recognition of Urdu Ligatures - A Holistic Approach

I s ra r Udd i n Khatta k, I m ra n S idd iq i , Shehzad Kha l i d a nd Chawki Djedd i Larbi Tebessi University, Algeria

#299 Label Transition and Selection Pruning and Automatic Decoding Parameter

Optimization for Time-Synchronous Viterbi Decoding

Yasuh i sa Fuj i i , Dm itr iy Genze l , Ashok C. Popat and Remco Teunen Google, USA

#306 Document Image OCR Accuracy Prediction via Latent Dirichlet Allocation

Xuju n Peng, Hua igu Cao a nd P rem Nata raj an Raytheon BBN Technologies, USA


-- Document Retrieval

#123 Extracting Structured Data from Unstructured Document with Incomplete

Resources

Herve Dejean XRCE, France

#130 Semantic Label and Structure Model based approach for Entity Recognition in

Database Context

N i he l Koo l i a nd Abde l Be la"id Universite de Lorraine - LORIA, France

#144 Character Retrieval of Vectorized Cuneiform Script

Ba rtosz Bogacz, M ichae l Ge rtz and H u bert Ma ra Heidelberg University, Germany

#350 Efficient VVord Image Retrieval using Fast DTVV Distance

Nagenda r G and C.V Jawaha r lilT Hyderabad, India

#367 Interactive Content-Based Document Retrieval Using Fuzzy Attributed Relational

Graph Matching

Ramz i Cha ieb, Ka r im Ka lt i a nd Najoua Essou kri Ben Ama ra SA GE Research Unit, Tunisia (will be presented by Oussama Zavene)

-- Scene - Video - Color Image Analysis

#095 Object Proposals for Text Extraction in the VVild

Ll u i s Gomez and D imosthen i s Ka ratzas Computer Vision Center - Barcelona, Spain

#105 Machine-Readable Region Identification from Partially Blurred Document Images

Qi nwen Wa ng, Yixue Wa ng, Chenya ng Wa ng, J ufeng Yang, Tao Li a nd Ka i Wa ng College of Computer and Control Engineering, Nankai University, China

#165 Efficient Estimation of Character Normal Direction for camera-based OCR

Ka nta Ku ramoto1, Wata ru Ohyama2, Tetsush i Wakabayash i a nd F um ita ka Kimu ra 1 Yahoo, Japan

2 Mie University, Japan

#172 A New Method based on Bag of Filters for Character Recognition in Scene Images

by Learning

Qisu Li l, Tong LU\ Pa l a i a hnakote Sh ivakumara2, U mapada Pa l 3 a nd Chew Lim Ta n4

1 Nanjing University, China

2 University of Malaya, Malaysia


4 National University of Singapore, Singapore

#177 Scene Character Recognition using Markov Random Field

X iao long Li u and Tong Lu Nanjing University, China

#209 True Color Distributions of Scene Text and Background

Renwu Gao, Shoma Eguch i a nd Se i i ch i Uch ida Kyushu University, Japan


#212 Fisher Vector Encoding of Micro Color Features for (Real VVorld) Jigsaw Puzzles

Fa b i an R ichter, Ch r ist i a n Eggert and Ra i ne r Lie nha rt University of Augsburg, Germany

#215 Recognizing Perspective Scene Text with Context Feature

Anna Zhu, Ya ngbo Dong and Guoyou Wa ng Huazhong University of Science & Technology, China

#229 Multiresolution Approach Based on Adaptive Superpixels for Administrative

Documents Segmentation into Color Layers

E lod ie Ca re l l, Jea n-Ch r istophe Bu riel, Vi ncent Courbou l ay, Jean -Marc Ogie rl a nd

V incent Pou l a i n d 'Andecl 1 University of La Rochelle, France

2 Yooz, France

#237 A Comparative Study of Local Detectors and Descriptors for Mobile Document

Classification

Marca l Rus i no l l, Joseph Chaza lon2, Jea n -Marc Ogie r2 and Josep L ladosl



#238 SRIF: Scale and Rotation Invariant Features for Camera-Based Document Image

Retrieval

Quoc Bao Da ng, M u hammad M uzza m i l Lugma n, M ickae l Coustaty, Cao De Tra n

and Jean -Marc Ogie r University of La Rochelle, France

#288 Use Case Visual Bag-of-VVords Techniques for Camera Based Identity Document

Classification

Ll u fs-Pere De Las Heras\ Or io l Ramos Terradesl, Josep L lad6s\ Dav id

Fernandez and Cr ist i na Ca nero2


2 ICAR, Spain

#321 A Character Degradation Model for Color Document Images

Do Th i Luyen, E lod ie Ca re l , J ean-Ma rc Ogie r and Jea n-Ch r istophe Bu rie University o f L a Rochelle, France

#336 Comic Frame Extraction via Line Segments Combination

Yongtao Wa ng, Yafeng Zhou and Zh i Ta ng Peking University, China

#343 Mixed handwritten and printed digit recognition in Sudoku with Convolutional

Deep Belief Network

Bapt iste Wicht and Jean Hennebert University of applied science of western switzerland, Switzerland

#406 A Dataset for Arabic Text detection, tracking and recognition in news Videos

AcTiV

Oussama Zayene, Jean Hennebert, Sa meh Masmoud i Touj, Rolf I ngo ld and Najoua

Essou kri Bena mara SA GE Research Unit, Tunisia


#426 Arabic Characters Recognition in Natural Scenes using Sparse Coding for Feature

Representations

Maroua Touns i , I kra m Moa l l a , Ade l M . A l im i a nd F ra nck Lebourgeo i s INSAVALOR LlRIS d e Lyon, France

-- VVord Recognition - Spotting

#026 Keyword spotting in handwritten documents based on a generic text line HMM

and a SVM verification

Yousr i l<essenti n i 1 a nd Th ier ry Paquet2

1 MIRACL, Tunisia


#057 A Multiple Instances Approach to Improving Keyword Spotting on Historical

Mongolian Document Images

Hongxi Wei, Guang l a i Gao and X ia ngdong Su Inner Mongolia University, China

#074 HoG based Two-Directional Dynamic Time VVraping for Handwritten VVord

Spotting

Shunyi Yao, Ying Wen and Yue Lu East China Normal University, China

#098 A Direct Approach for VVord and Character Segmentation in Run-Length

Compressed Documents with an Application to VVord Spotting

Mohammed Javed\ P Naga bhushan and B idyut Ba ra n Cha udhu ri 2

1 University of Mysore, India


#228 Shape-based VVord Spotting in Handwritten Document Images

Ange los P . G iotis, G io rgos Sfi kas, Ch r istophoros N i kou and Bas i l i s Gatos National Center for Scientific Research Demokritos, Greece

#240 Segmentation-Free Pattern Spotting in Historical Document Images

Sova nn En, Ca ro l i n e Petitjea n, Stephane N ico l a s and La u rent Heutte LITIS, France

#244 Unsupervised word spotting using a graph representation based on invariants

Qua ng Anh Bu i , M u rie l Visa n i a nd Remy Mu l l ot University of La Rochelle, France

#261 Learning Local Image Descriptors for VVord Spotting

Sebasti a n Sudho lt, Leona rd Rothacker and Gernot F i n k T U Dortmund University, Germany

#275 Using Attributes for VVord Spotting and Recognition in Poly tonic Greek Documents

G io rgos Sfi kas, Ange los P . G iotis, Georgios Lou loud i s and Bas i l i s Gatos National Center for Scientific Research "Demokritos/� Greece

#293 Context-Aware Lattice based Filler approach for Key VVord Spotting in

Handwritten Documents

Aleja nd ro Hecto r Tose l l i , Joan Pu igce rve r and En rique Vida l Universitat Politecnica de Valencia, Spain


#294 High Performance Query-by-Example Keyword Spotting Using Query-by-String

Techniques

En rique Vida l , A lej and ro Hector Tose l l i a nd Joan Pu igce rve r Universitat Politecnica de Valencia, Spain

#351 Query by string word spotting based on character bi-gram indexing

Suman G hosh and Ernest Va lveny Computer Vision Center - Barcelona, Spain

#369 A New VVavelet-Laplacian Method for Arbitrarily-Oriented Character

Segmentation in Video Text Lines

#487

G uozh u L ia ng, Pa l a i a hnakote Sh ivakumara1, Tong Lu2 and Chew Lim Ta n3

1 University of Malaya, Malaysia

2 Nanjing University, China

3 National University of Singapore, Singapore

Performance Evaluation of DTVV and its Variants for VVord Spotting in Degraded

Documents

Ta nmoy Monda l 1, N ico l a s Ragot, Jean-Yves Ra me l 1 a nd U mapada Pa l 2

1 Universite de Fran�ois Rabelais de Tours, France


#488 Exemplary Sequence Cardinality: An Effective Application for VVord Spotting

Ta nmoy Monda l 1, N ico l a s Ragot, Jean-Yves Ra me l 1 a nd U mapada Pa l 2

1 Universite de Fran�ois Rabelais de Tours, France



Oral Session 16: Syntactic/Semantic Analysis

Time : Wednesday, August 26, 2015, 09:50 - 11: 10


Chair: Ma rcus L iwicki (Germa n Research Cente r fo r Art ific ia l I nte l l igence, Germa ny)

#272 Language Identification from Handwritten Documents

Luc M iou l et, Utpa l Ga ra i n 1, C lement Chate l a i n, Th ier ry Paquee and Ph i l i pp i ne Bar l a s 1 Indian Statistical Institute, India


#088 A Syntax Directed System for the Recognition of Printed Arabic Mathematical

Formulas

Kawther Khazr i , Afet Kacem1 and Abde l Be l a id2



#427 Unsupervised Feature Learning for Optical Character Recognition

Devendra Sa h u and Jawaha r C. V. lilT Hyderabad, India

#361 A clump splitting based method to localize speech balloons in comics

Xicheng Li u, Yongtao Wang and Zhi Ta ng Peking University, China


Oral Session 17: Printed/Handwritten: Visual Scene Analysis

Time : Wednesday, August 26, 2015, 11: 10 - 12:30


Chair: N i co le V incent ( U n ivers ity Par i s Desca rte, France)

#185 Scene Text Detection with Robust Character Candidate Extraction Method

Myung-Chu l Su ng, Bongji n J u n, Hojin Cho and Da ij i n K im StradVision, Inc., South Korea

#256 Towards Visual VVords to VVords

Ra kesh Mehta, Ond rej Ch u m and J i r i Matas Czech Technical University in Prague, FEE, Czech Republic

#383 Multi-Lingual Text Recognition from Video Frames

Nab i n Sha rma, Ra nj u Ma nda i , Rab i Sha rma, Pa rtha Pa rt im Roy\ U mapada Pa l 2 and

M ichae l B l umenste i n 1 Indian Institute of Technology Roorkee, India


#184 Lexicon-Driven Recognition of One-Stroke Character Strings in Visual Gesture

Fe i Y in , Pa i -Pa i L iu , Li n l i n Hu ang and Cheng-Li n Li u Institute of Automation of Chinese Academy of Sciences, China


Oral Session - Competitions

Time : Wednesday, August 26, 2015, 14:30 - 16:30


Chairs : Aposto los Antonacopou los ( U n iv. Sa lfo rd, U n ited K ingdom), Umapada Pa l ( I nd i a n Stat ist ica l I nst itute,

I nd i a )

-- Document Analysis Systems

#C01 Recognition of Documents with Complex Layouts (RDCL-2015)

Aposto los Antonacopou los, Ch r ist i a n C l ausner, Chr i stos Papadopou los and Stefa n

P l etschacher PRimA - University of Salford, United Kingdom

-- Text in Challenging Contexts

#C02 Robust Reading (RR-2015)

D imosthen i s Ka ratzas1, L l u i s Gomez-Bigorda, Angue los N ico l aou, Suman Ghosh,

And rew Bagdanov, Masa kazu Iwamu ra, J i r i Matas, Lukas Neumann, Vijay

Ramaseshan Cha nd rasekha r, Sh ij i a n Lu, Fa i sa l Shafa it2, Se i i ch i Uch ida 3 and Ernest

Va lveny 1 Computer Vision Center - Barcelona, Spain



#C03 Smartphone Document Capture and OCR (SmartDoc-2015)

Jea n-Ch r istophe Bu r ie, Joseph Chaza lon , M i ckae l Coustaty, Sebast ien

Eskenaz i , M u hammad M uzzam i l Luqma n, Ma roua Meh ri , N i b a l Nayef, Jean -Marc

Ogie r, Sophea P rum and Ma r<;a l Rus i no l University of La Rochelle, France

-- Historical Documents

#C04 Handwritten Text Recognition on the tranScriptorium Dataset (HTRtS-2015)

Joan Andreu Sa nchez, A lej and ro H. Tose l l i , Ve ron ica Romero and En rique Vida l Universitat Politecnica de Valencia, Spain

#C05 Text Line Detection in Historical Documents (ANDAR-TL-2015)

Michae l Mu rdock Ancestry.com, USA

#C06 Keyword Spotting for Handwritten Documents (KVVS-2015)

Joan Pu igcerve r, A lej and ro Hecto r Tose l l i a nd En rique Vida l Universitat Politecnica de Valencia, Spain

#C07 MultiSpectral Text Extraction Contest (MS-TEx-2015)

Rach id Hedja m, Hosse i n Ziaei Nafch i , Reza Far ra h i Moghaddam, Ma rga ret Ka l acska

and Moha med Che riet University of Quebec, Canada


-- Identification

#C08 Signature Verification and VVriter Identification for On- and Off-line Skilled

Forgeries (SigVVlcomp2015)

Muhammad I m ra n Ma l i k

#C09 Multi-Script VVriter Identification and Gender Classification (MS-VVIGC-2015)

Chawki Djedd i , Somaya A I -Maadeed, Abde lja l i l Gatta l , I m ra n S idd iq i , La b i ba Sou ic i

Mes lat i and Ha i ka l E I Abed Larbi Tebessi University, Algeria

-- Specific Challenges

#C10 Video Script Identification (CVSI-2015)

Nab i n Sha rma, Ra nj u Ma nda i , Rab i Sha rma, Umapada Pa l and M ichae l B l umenste i n Indian Statistical Institute, India

#C11 Text Image Super-Resolution (SR-2015)

C lement Peyra rd, Moez Baccouche, F ra nck Mama let and Ch r istophe Ga rc ia Orange Labs, France