Assuring liveness in biometric identity authentication by real-time face tracking

Author

Bigun, J. ; Fronthaler, H. ; Kollreider, K.

Author_Institution

Halmstad Univ., Sweden

fYear

2004

fDate

21-22 July 2004

Firstpage

104

Lastpage

111

Abstract

A system that combines real-time face tracking as well as the localization of facial landmarks in order to improve the authenticity of fingerprint recognition is introduced. The intended purpose of this application is to assist in securing public areas and individuals, in addition to enforce that the collected sensor data in a multi modal person authentication system originate from present persons, i.e. the system is not under a so called play back attack. Facial features are extracted with the help of Gabor filters and classified by SVM experts. For real-time performance, selected points from a retinotopic grid are used to form regional face models. Additionally only a subset of the Gabor decomposition is used for different face regions. The second modality presented is texture-based fingerprint recognition, exploiting linear symmetry. Experimental results on the proposed system are presented.

Keywords

face recognition; feature extraction; fingerprint identification; image classification; image segmentation; image texture; real-time systems; sensor fusion; support vector machines; tracking; Gabor decomposition; Gabor filters; SVM classification; biometric identity authentication; facial feature extraction; facial landmark localization; fingerprint recognition authenticity; linear symmetry; log-polar sampling; multimodal person authentication; multimodal person authentication system; play back attack; public area security; real-time face tracking; regional face models; retinotopic grid; support vector machines; texture-based fingerprint recognition; Authentication; Biometrics; Data mining; Facial features; Fingerprint recognition; Gabor filters; Real time systems; Sensor systems and applications; Support vector machine classification; Support vector machines;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence for Homeland Security and Personal Safety, 2004. CIHSPS 2004. Proceedings of the 2004 IEEE International Conference on

Print_ISBN

0-7803-8381-8

Type

conf

DOI

10.1109/CIHSPS.2004.1360218

Filename

1360218