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Multimodal Biometric System based on Hand Geometry and Palm Print Texture

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3 Author(s)
Ferrer, M.A. ; Departamento de Senates y Comunicaciones, Univ. de Las Palmas de Gran Canaria ; Travieso, C.M. ; Alonso, J.B.

This paper presents a multimodal biometric identification system based on the geometrical and palm print features of the human hand. The right hand images are acquired by a commercial scanner with a 150 dpi resolution. The geometrical features are obtained from the binarized images and consist on 15 measures. A support vector machines is used as verifier. The palm print texture is obtained by means of a 2D Gabor phase encoding scheme. A robust coordinate system is defined to make easier the image alignment. A Hamming distance and threshold are used for verifying the identity. A score and decision level fusion results have shown the improvement of the combined scheme

Published in:

Carnahan Conferences Security Technology, Proceedings 2006 40th Annual IEEE International

Date of Conference:

Oct. 2006