Title :
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
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;
Conference_Titel :
Carnahan Conferences Security Technology, Proceedings 2006 40th Annual IEEE International
Conference_Location :
Lexington, KY
Print_ISBN :
1-4244-0174-7
DOI :
10.1109/CCST.2006.313435
