DocumentCode :
2564554
Title :
Derivative method for hand palm texture biometric verification
Author :
Travieso, Carlos M. ; Fuertes, Juan José ; Alonso, Jesús B.
Author_Institution :
Signals & Commun. Dept., Univ. de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
fYear :
2011
fDate :
18-21 Oct. 2011
Firstpage :
1
Lastpage :
5
Abstract :
In this work, a novel, simple and very robust biometric verification system through the use of the texture of the hand palm is proposed. It attempts to make the performance of existing palm-print systems better. First of all, the hand palm image with scale, rotation and translation invariance is isolated from the hand image recorded. Then, the “derivative method” presented in this paper, is used to extract the texture features from gray-scale images. It consists of a differentiation and binarization process. 1090 hand images of 109 people with 10 samples each one have been acquired by means of a commercial scanner with 150 dpi resolution. Support Vector Machine (SVM) is the main classifier used as verifier, in closed mode and open mode. An EER=0.30% and an EER=0.032% shown the final results of our system when it works in open and closed mode respectively.
Keywords :
feature extraction; image classification; image texture; palmprint recognition; support vector machines; binarization process; derivative method; differentiation process; hand palm texture biometric verification system; palm-print systems; rotation invariance; scale invariance; support vector machine; texture feature extraction; translation invariance; Biomedical imaging; Feature extraction; Robustness; Support vector machines; Thumb; Vectors; Biometrics; hand verification system; palmprint texture; pattern recognition and classification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Security Technology (ICCST), 2011 IEEE International Carnahan Conference on
Conference_Location :
Barcelona
ISSN :
1071-6572
Print_ISBN :
978-1-4577-0902-9
Type :
conf
DOI :
10.1109/CCST.2011.6095889
Filename :
6095889
Link To Document :
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