Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/44093
Título: Arbitrary illumination conditions for facial identification
Autores/as: Travieso, Carlos M. 
Alonso, Jesús B. 
Ferrer, Miguel A. 
Clasificación UNESCO: 3307 Tecnología electrónica
Palabras clave: Lighting , Image databases , Support vector machines , Support vector machine classification , Principal component analysis , Neural networks , Biometrics , Face recognition , Robustness , Face detection , Biometric identification , facial recognition , classification system , neural network (NN) , support vector machines (SVM)
Fecha de publicación: 2007
Editor/a: 1071-6572
Publicación seriada: Proceedings - International Carnahan Conference on Security Technology 
Conferencia: 41st Annual IEEE International Carnahan Conference on Security Technology 
2007 41st Annual IEEE Carnahan Conference on Security Technology, ICCST 
Resumen: This paper presents a simple, robust and novel for errors detection in biometric system which is applied to the Olivetti Research Laboratory (ORL) Face and Yale Databases. We have used as parameterisation different transformed dominions by James L. Wyman, et al. (2002), and a support vector machine (SVM) by Anil K. Jain, et al. (2004) as classifier. This system has been adjusted with our experiments for obtaining an false identification rate (FIR) of 0%, with a success rate of 90.8% a rejected samples rate of 9.2%.
URI: http://hdl.handle.net/10553/44093
ISBN: 978-1-4244-1129-0
1424411297
ISSN: 1071-6572
DOI: 10.1109/CCST.2007.4373474
Fuente: Proceedings - International Carnahan Conference on Security Technology[ISSN 1071-6572] (4373474), p. 93-98
Colección:Actas de congresos
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