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Proceedings Paper

A multimodal biometric authentication system based on 2D and 3D palmprint features
Author(s): Vivek K. Aggithaya; David Zhang; Nan Luo
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Paper Abstract

This paper presents a new personal authentication system that simultaneously exploits 2D and 3D palmprint features. Here, we aim to improve the accuracy and robustness of existing palmprint authentication systems using 3D palmprint features. The proposed system uses an active stereo technique, structured light, to capture 3D image or range data of the palm and a registered intensity image simultaneously. The surface curvature based method is employed to extract features from 3D palmprint and Gabor feature based competitive coding scheme is used for 2D representation. We individually analyze these representations and attempt to combine them with score level fusion technique. Our experiments on a database of 108 subjects achieve significant improvement in performance (Equal Error Rate) with the integration of 3D features as compared to the case when 2D palmprint features alone are employed.

Paper Details

Date Published: 17 March 2008
PDF: 9 pages
Proc. SPIE 6944, Biometric Technology for Human Identification V, 69440C (17 March 2008); doi: 10.1117/12.779432
Show Author Affiliations
Vivek K. Aggithaya, The Hong Kong Polytechnic Univ. (Hong Kong China)
David Zhang, The Hong Kong Polytechnic Univ. (Hong Kong China)
Nan Luo, The Hong Kong Polytechnic Univ. (Hong Kong China)


Published in SPIE Proceedings Vol. 6944:
Biometric Technology for Human Identification V
B.V.K. Vijaya Kumar; Salil Prabhakar; Arun A. Ross, Editor(s)

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