Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/44035
Título: Derivative method for hand palm texture biometric verification
Autores/as: Travieso, Carlos M. 
Fuertes, Juan José
Alonso, Jesús B. 
Clasificación UNESCO: 3307 Tecnología electrónica
Palabras clave: Support vector machines , Feature extraction , Biomedical imaging , Vectors , Robustness , Thumb , Biometrics , hand verification system , palmprint texture , pattern recognition and classification
Fecha de publicación: 2011
Editor/a: 1071-6572
Publicación seriada: Proceedings - International Carnahan Conference on Security Technology 
Conferencia: 2011 IEEE International Carnahan Conference on Security Technology, ICCST 2011 
Resumen: 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
Fuente: Proceedings - International Carnahan Conference on Security Technology[ISSN 1071-6572] (06095889)
Colección:Actas de congresos
Vista completa

Citas SCOPUSTM   

3
actualizado el 24-mar-2024

Visitas

52
actualizado el 03-feb-2024

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.