A Novel Personal Authentication System Using Palmprint Technology

In recent times, an increasing, worldwide effort has been devoted to the development of automatic personal identification systems that can be effective in a wide variety of security contexts. Palmprints have a number of unique advantages: they are rich in features such as principal lines, wrinkles, and textures and these provide stable and distinctive information sufficient for separating an individual from a large population. In this paper, we present a novel biometric authentication system to identify a person’s identity by his/her palmprint. Being a robust and reliable system, it was tested by more than 8,000 palmprint images with very low false acceptance rate (0.02%), and a relative high genuine acceptance rate (98.83%). The whole authentication process is less than 1 second. Finally, some possible applications are discussed which could be benefited by using palmprint technology.

[1]  David Zhang,et al.  Palmprint recognition using eigenpalms features , 2003, Pattern Recognit. Lett..

[2]  D. D. Zhang,et al.  Palmprint Authentication (International Series on Biometrics) , 2004 .

[3]  Soo-Won Kim,et al.  An biometric identification system by extracting hand vein patterns , 2001 .

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

[5]  Ana González-Marcos,et al.  Biometric Identification through Hand Geometry Measurements , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

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

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

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

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

[10]  Sharath Pankanti,et al.  Filterbank-based fingerprint matching , 2000, IEEE Trans. Image Process..