Biometrics and Image processing

Transcription

1 Biometrics and Image processing M. M Saad, C. Rosenberger, A. Elmoataz GREYC research lab (UMR 6072) ENSICAEN - CNRS Université de Caen Basse-Normandie FRANCE

2 Outline 1 GREYC research lab 2 E-payment & Biometrics research unit 3 Image processing research unit (NAE presentation) GREYC version / 21

3 Introduction Presentation GREYC research lab : supported by University of Caen Basse-Normandie, ENSICAEN and CNRS (computer science department) with research activities in the field of Information Technologies. The GREYC research lab is directed by M. M Saad (director), F. Jurie and A. Mouadib (vice-directors). It is composed of more than 230 members : 93 associate and full professors 7 full time CNRS researchers 17 administrative and technical staff 70 PhD students with 12 co-funded with a company 41 post-doc, engineers... (NAE presentation) GREYC version / 21

4 Organization Research units (8) UCBN Campus 2 site Algorithmic, Computation models, Random, Cryptography, Complexity (AMACC) COnstraints, Data mining and Graphs (CODaG) Models, Agents and Decision (MAD) HUman Language TECHnology (HULTECH) ENSICAEN sites A and B Automatics Electronics Image processing E-payment & Biometrics (NAE presentation) GREYC version / 21

5 Some pictures (NAE presentation) GREYC version / 21

6 Synthesis http :// (NAE presentation) GREYC version / 21

7 Outline 1 GREYC research lab 2 E-payment & Biometrics research unit 3 Image processing research unit (NAE presentation) GREYC version / 21

8 Research topics Credo of the research unit The E-payment & Biometrics research unit in the GREYC lab works on research activities in computer security following 2 research topics with a continuity from theoretical to applied research aspects, both of them gaining from the other. Computer security Biometrics Definition and evaluation of biometric systems, protection of biometric data Trust Applied Cryptography, software applications using a SE, security and privacy protocols Applications E-payment Digital identity Contactless transactions Project management (NAE presentation) GREYC version / 21

9 Research activities in biometrics Scientific trends New biometric systems (2) : continuous keystroke dynamics, palm veins, Soft biometrics (1) : profiling individuals, improvement of biometric systems performance, Biometric template update (1) : definition and evaluation of biometric template update schemes, Quality of biometric data (1) : metrics for the comparison of sensors, improvement of biometric systems performance, Multi-biometrics : fusion of biometric modalities and systems, Protection of biometric data (2) : crypto-biometrics, BioHashing, Evaluation of biometric systems (1) : sensors and MOC algorithms, Biometrics on mobile devices : application to e-payment. (NAE presentation) GREYC version / 21

10 Studied biometric modalities (NAE presentation) GREYC version / 21

11 Focus on keystroke dynamics Figure 1: Keystroke dynamics recognition (Windows version) (NAE presentation) GREYC version / 21

12 Focus on biometrics on mobile phones Figure 2: Android biometric applications (NAE presentation) GREYC version / 21

13 Focus on multi-biometrics Figure 3: Multi-biometrics between face an keystroke dynamics with genetic algorithms : EER=2.2%, with genetic programming : 1.5% (NAE presentation) GREYC version / 21

14 Focus on biometric template update Figure 4: Template update (double threshold) on keystroke dynamics. (NAE presentation) GREYC version / 21

15 Focus on soft biometrics Figure 5: Soft biometrics on keystroke dynamics (NAE presentation) GREYC version / 21

16 Focus on the evaluation of biometric systems Figure 6: EVABIO platform for performance and security assessments (NAE presentation) GREYC version / 21

17 Focus on the evaluation of biometric systems Figure 7: EVABIO Sensors : Evaluation of biometric sensors (NAE presentation) GREYC version / 21

18 Focus on the quality of biometric data Figure 8: Quality of fingerprints : 85% correlation with the matching score (NFIQ : 20%) (NAE presentation) GREYC version / 21

19 Focus on cancelable biometrics Figure 9: BioHashing protection (Windows version) (NAE presentation) GREYC version / 21

20 Questions http :// (NAE presentation) GREYC version / 21