Title :
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
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"
Conference_Titel :
Security Technology, 2007 41st Annual IEEE International Carnahan Conference on
Print_ISBN :
978-1-4244-1129-0
Electronic_ISBN :
2153-0742
DOI :
10.1109/CCST.2007.4373467
