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Center for Unified Biometrics and Sciences

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Page 1: About CUBS

CUBSAbout the Center for Unified Biometrics and Sensors

VenuGovindaraju

Distinguished Professor, SUNY Buffalo

CUBS Director

Page 2: About CUBS

About CUBS

• Advancing biometric technologies for civilian and

homeland security by integrating pattern recognition

and machine learning algorithms with sensors

technology since 2003

• Two strategic application areas:

Biometrics and Language Technologies

• Funded by industry and government agencies

• Scholarly activities include 25 PhD dissertations and

350 scientific papers

Page 3: About CUBS

Major Technical Achievements

• Postal: Developed handwriting recognition technology used by US

Postal Service leading to savings of several hundred million dollars

“Computing Research that Changed the World: Reflections and

Perspectives” March 25, 2009”:: Impact ::

• Web Security: Innovated the first handwritten CAPTCHAs to improve

web security “MIT” Tech Review January 09, 2009

• Privacy Preserving Biometrics: Innovated a hashing method for storing

and matching fingerprint data for cancelable biometrics US Patent 2011

• Multilingual OCR: Steered the OCR community research towards

including Indic scripts in digital library initiatives Guide to OCR for Indic

Scripts

• Deceit Detection: Developed automated techniques for analyzing eye

movements and facial expressions. Can machines tell when a person is

lying?

Page 4: About CUBS

People

Page 5: About CUBS

Projects

Language Technologies

Multilingual OCR (Arabic, Indic, and CJK

scripts

Historical Documents

(restoration, transcription, indexing)

PDA Interfaces (online recognition, gestures)

White Board Technologies (video, distance

learning)

Editorial Gesture Recognition (collaborative

document editing)

Medical Informatics (forms, prescriptions, lab

reports)

Web Security (CAPTCHAs)

Search Engines (handwriting, multilingual)

Biometrics

Modalities

(Face, fingerprint, gait, iris, signature)

Cancelable Biometrics (private

templates, cryptography)

People Tracking (smart environments)

Gaze Tracking (assisted living, marketing)

Facial Expression Analysis ( deceit

detection, impaired driving)

Emotion Analysis (fMRI)

Scene Understanding (locating people in

crowds)

Fusion (modalities, classifiers)

Page 6: About CUBS

CUBS Facts

Where are they now?

CUBS students have been employed by top tier companies such as Amazon, BBN, eBay, Fujitsu,

Google, IBM, L1, Siemens, and Yahoo Research

Computing Research that Changed the World

“… VenuGovindaraju and colleagues developed a learning based system which processes 25

billion letters a year automatically… saving hundreds of millions of dollars for the United States

Postal Service.” (Presentation at Library of Congress)

Research and Development

R&D investment of over $50M in pattern recognition technologies

cubs.buffalo.edu

[email protected]