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Emerging trends in Biometric Authentication

Christophe Rosenberger

GREYC Laboratory – France

ENSICAEN – University of Caen - CNRS

SHPCS’09

SHPCS’09

Authentication

Trends in biometric authentication

Achievements

Conclusion & perspectives

PLAN

SHPCS’09

Authentication

Definition: Authentication

Process whose objective is to guarantee the identity of a user or a

service given a set level of confidence.

User Authentication

Definition: Authentication factors

An authentication factor is an authenticator element:

what we know (password),

what we own (smartcard),

What we are or how we behave (biometrics).

SHPCS’09

Biometric modalities :

Biological analysis:

Odour, blood, DNA…

Behavioural analysis:

Keystroke dynamics, voice, gait, signature dynamics...

Morphological analysis:

Fingerprint, iris, palmprint, finger veins, face, ear…

Authentication

SHPCS’09

Properties: A biometric information must respect the following properties:

Universality: All individuals can be characterized by this

information ;

Uniqueness: The biometric information must be as dissimilar

as possible for two different individuals ;

Permanency: It must subsist during all individual’s life ;

Collectability: The biometric information must be easily

computed ;

Acceptability: Users must be ready to give this information.

Authentication

SHPCS’09

Enrolment

Individual’s checkin in the biometric system

Storage

Unique login

Biometric data

Sensor

+

System

Association

Biometric reference

Authentication

SHPCS’09

Verification

Comparison between the capture and the

reference

login

biometric data

Sensor

+

System

Comparison

Result

Reference

Authentication

SHPCS’09

Decision criterion

Similarity

Repartition

impostors genuine

Threshold

True

rejected Wrong

accepted

Low threshold : no problem for genuine

users but impostors might be authenticated

High threshold: no impostor

but genuine will be disturbed

Authentication

SHPCS’09

Performance evaluation

EER

FRR

FAR

FAR : False Acceptation Rate

FRR : False Rejection Rate

EER : Equal Error Rate

ROC curve: FAR vs FRR

Authentication

SHPCS’09

Authentication

Trends in biometric authentication

Achievements

Conclusion & perspectives

PLAN

SHPCS’09

Biometric technology could be more deployed for logical and

physical access control applications.

Needs:

High performance biometric systems ;

Embedded device

Low memory

Quick verification

Correctness

Trends in Biometric Authentication

SHPCS’09

Definition of unconstrained biometric systems ;

One capture enrolment systems

Easiness of use

Evaluation of biometric systems ;

Performance, acceptability, security

Definition of privacy preserving systems…

No storage of the biometric reference

Trends in Biometric Authentication

SHPCS’09

Authentication

Trends in biometric authentication

Achievements

Conclusion & perspectives

PLAN

SHPCS’09

Achievements

Facial Authentication

Enrolment:

only one image unconstrained acquisition (face detection)

extraction of local face characteristics

SHPCS’09

Verification :

C. Rosenberger, L. Brun "Similarity-Based Matching for Face Authentication", IEEE

International Conference on Pattern Recognition (ICPR), 2008.

Achievements

SHPCS’09

Results

Faces94 benchmark:

152 individuals,

20 images per individual.

EER = 0.14%

AR benchmark:

120 individuals: 65 men, 55 women,

26 images per individual.

EER = 9%

Achievements

SHPCS’09

Palm veins authentication

Enrolment with a single image

EER = 0% on a benchmark composed of 24 individuals

P.-O. Ladoux, C. Rosenberger, B. Dorizzi, "Hand Vein Verification System based on SIFT

matching", The 3rd IAPR/IEEE International Conference on Biometrics (ICB), 2009.

Achievements

SHPCS’09

Keystroke dynamics authentication

Use of release, press and inter keys times during the typing of a

password. 5 captures for the enrolment

EER = 6% on a database of 100 individuals

R. Giot, M. El-Abed, C. Rosenberger, "Keystroke Dynamics Authentication For

Collaborative Systems", The IEEE International Symposium on Collaborative

Technologies and Systems (CTS), 2009.

Achievements

SHPCS’09

4 captures of

the same

password

Achievements

SHPCS’09

Evaluation of biometric systems

Analysis the perception of users

F. Cherifi, B. Hemery, R. Giot, M. Pasquet, C. Rosenberger, "Performance Evaluation Of

Behavioural Biometric Systems", Book on Behavioural Biometrics for Human

Identification: Intelligent Applications, 21 pages, 2009.

Achievements

SHPCS’09

Biohashing

Storage of a

biocode computed given a random

number and a

biometric template

R. Belguechi, C. Rosenberger, "Study on the Convergence of FingerHashing and a

Secured Biometric System", Proceedings of the International conference CIIA, 2009.

Achievements

SHPCS’09

Authentication

Trends in biometric authentication

Achievements

Conclusion & perspectives

PLAN

SHPCS’09

Conclusion

Biometrics

Benefit:

Close relationship between the client and its authenticator

drawbacks:

performance (EER>0%)

acceptability of users

Perspectives:

increase the computing performance

improve algorithms (performance, robustness…)

respect the privacy of users

SHPCS’09

Questions

christophe.rosenberger@ensicaen.fr

http://www.ecole.ensicaen.fr/~rosenber/