Palmprint Authentication Based on Orientation Code Matching

This paper presents a novel approach of palmprint authentication by matching the orientation code. In this approach, each point on a palmprint is assigned a orientation. And all point orientations of a palmprint constitute a palmprint orientation code (POC). Four directional templates with different directions are devised to extract the POC. The similarity of two POC is measured using their Hamming distance. This approach is tested on the public PolyU Palmprint Database and the experimental results demonstrate its effectiveness.

[1]  Anil K. Jain,et al.  FVC2000: Fingerprint Verification Competition , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  Richard P. Wildes,et al.  Iris recognition: an emerging biometric technology , 1997, Proc. IEEE.

[3]  Helen C. Shen,et al.  Personal Verification Using Palmprint and Hand Geometry Biometric , 2003, AVBPA.

[4]  Arun Ross,et al.  An introduction to biometric recognition , 2004, IEEE Transactions on Circuits and Systems for Video Technology.

[5]  David Zhang,et al.  Online Palmprint Identification , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  Anil K. Jain,et al.  On-line fingerprint verification , 1996, Proceedings of 13th International Conference on Pattern Recognition.

[7]  Sharath Pankanti,et al.  Biometrics, Personal Identification in Networked Society: Personal Identification in Networked Society , 1998 .

[8]  Alfred C. Weaver,et al.  Biometric authentication , 2006, Computer.

[9]  David Zhang,et al.  Fisherpalms based palmprint recognition , 2003, Pattern Recognit. Lett..

[10]  Chin-Chuan Han,et al.  Personal authentication using palm-print features , 2003, Pattern Recognit..

[11]  David Zhang,et al.  Automated Biometrics: Technologies and Systems , 2000 .

[12]  David Zhang,et al.  Feature-Level Fusion for Effective Palmprint Authentication , 2004, ICBA.