Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44035
Title: Derivative method for hand palm texture biometric verification
Authors: Travieso, Carlos M. 
Fuertes, Juan José
Alonso, Jesús B. 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Support vector machines , Feature extraction , Biomedical imaging , Vectors , Robustness , Thumb , Biometrics , hand verification system , palmprint texture , pattern recognition and classification
Issue Date: 2011
Publisher: 1071-6572
Journal: Proceedings - International Carnahan Conference on Security Technology 
Conference: 2011 IEEE International Carnahan Conference on Security Technology, ICCST 2011 
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.
URI: http://hdl.handle.net/10553/44035
ISBN: 9781457709029
ISSN: 1071-6572
DOI: 10.1109/CCST.2011.6095889
Source: Proceedings - International Carnahan Conference on Security Technology[ISSN 1071-6572] (06095889)
Appears in Collections:Actas de congresos
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