Multimodal Biometric System based on Hand Geometry and Palm Print Texture

Author

Ferrer, Miguel A. ; Travieso, Carlos M. ; Alonso, Jesús B.

Author_Institution

Departamento de Senates y Comunicaciones, Univ. de Las Palmas de Gran Canaria

fYear

2006

fDate

Oct. 2006

Firstpage

92

Lastpage

97

Abstract

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

Keywords

Hamming codes; biometrics (access control); feature extraction; image coding; image recognition; support vector machines; Hamming distance; data fusion; hand geometry; hand identification system; image alignment; image classification; image recognition; multimodal biometric system; palm print texture; support vector machines; Access control; Biometrics; Feature extraction; Fingerprint recognition; Fingers; Geometrical optics; Geometry; Humans; Shape measurement; Support vector machines; Biometrics; Classification and Recognition; data fusion; hand identification system;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Lexington, KY

Print_ISBN

1-4244-0174-7

Type

conf

DOI

10.1109/CCST.2006.313435

Filename

4105322