Low Cost Multimodal Biometric identification System Based on Hand Geometry, Palm and Finger Print Texture

Author

Miguel A. Ferrer;Aythami Morales;Carlos M. Travieso;Jesws B. Alonso

Author_Institution

Universidad de Las Palmas de Gran Canaria, Departamento de Se?ales y Comunicaciones, Centro Tecnol?gico para la Innovaci?n en Comunicaciones, Campus de Tafira s/n, 35017 Las Palmas de Gran Canaria, SPAIN. Email: mferrer@dsc.ulpgc.es

fYear

2007

Firstpage

52

Lastpage

58

Abstract

This paper presents a multimodal biometric identification system based on the combination of geometrical, palm and finger 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 and finger texture are obtained by means of different 20 Gabor phase encoding schemes. A robust coordinate system is defined to assure the image alignment. A Hamming distance and threshold are used for verifying the identity. A feature, score and decision level fusion results have shown the improvement of the combined scheme.

Keywords

"Costs","Biometrics","Geometry","Fingers","Humans","Image resolution","Support vector machines","Encoding","Robustness","Hamming distance"

Publisher

ieee

Conference_Titel

Security Technology, 2007 41st Annual IEEE International Carnahan Conference on

ISSN

1071-6572

Print_ISBN

978-1-4244-1129-0

Electronic_ISBN

2153-0742

Type

conf

DOI

10.1109/CCST.2007.4373467

Filename

4373467