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Title: Arbitrary illumination conditions for facial identification
Authors: Travieso, Carlos M. 
Alonso, Jesús B. 
Ferrer, Miguel A. 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: 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)
Issue Date: 2007
Publisher: 1071-6572
Journal: Proceedings - International Carnahan Conference on Security Technology 
Conference: 41st Annual IEEE International Carnahan Conference on Security Technology 
2007 41st Annual IEEE Carnahan Conference on Security Technology, ICCST 
Abstract: 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%.
ISBN: 978-1-4244-1129-0
ISSN: 1071-6572
DOI: 10.1109/CCST.2007.4373474
Source: Proceedings - International Carnahan Conference on Security Technology[ISSN 1071-6572] (4373474), p. 93-98
Appears in Collections:Actas de congresos
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