Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44106
Title: Strategy for improving the reliability in the Facial identification
Authors: Travieso, Carlos M. 
Alonso, Jesús B. 
Ferrer, Miguel A. 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Face detection , Image databases , Biometrics , Security , Robustness , Face recognition , Support vector machines , Support vector machine classification , Laboratories , Finite impulse response filter
Issue Date: 2005
Publisher: 1071-6572
Journal: Proceedings - International Carnahan Conference on Security Technology 
Conference: 39th Annual International Carnahan Conference on Security Technology 
39th Annual 2005 International Carnahan Conference on Security Technology, CCST'05 
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 database (400 images). We have used as parameterisation different transformed dominions (Travieso et al., 2004; Faundez, 2003), and a support vector machine (SVM) (Burges, 1998; Cristianini and Shawe-Taylor, 2000) as classifier. This system has been adjusted with our experiments for obtaining a 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/10553/44106
ISBN: 0-7803-9245-0
9780780392458
ISSN: 1071-6572
Source: Proceedings - International Carnahan Conference on Security Technology[ISSN 1071-6572] (1594833)
Appears in Collections:Actas de congresos
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