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

被引：30

作者：

Bigun, J ^{[1
]}

Fronthaler, H ^{[1
]}

Kollreider, K ^{[1
]}

机构：

[1] Halmstad Univ, SE-30118 Halmstad, Sweden

来源：

CIHSPS 2004: PROCEEDINGS OF THE 2004 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR HOMELAND SECURITY AND PERSONAL SAFETY | 2004年

关键词：

face tracking; multi modal person authenticaion; biometric identity authentication; Support Vector Machines; Gabor decomposition; log-polar sampling; fingerprint recognition;

D O I：

10.1109/CIHSPS.2004.1360218

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 front 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.

引用

页码：104 / 111

页数：8

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