Palmprint Texture Analysis Based on Low-Resolution Images for Personal Authentication

Authors:
Wai Kin Kong;David Zhang
Affiliations:
-;-
Venue:
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Year:
2002

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Abstract

Biometrics identification is an emerging solution for solving security problems in our networked society. A new branch of biometric approach-palmprint technology, whereby the lines and points can be extracted from our palm for personal authentication, was proposed several years ago. In this paper, we develop a new feature extraction method based on low-resolution palmprint images. A 2-D Gabor filter is used to obtain the texture information and two palmprint images are compared in term of their hamming distance. The experimental results illustrate the effectiveness of our method.