Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44111
Title: Facial identification using transformed domain by SVM
Authors: Travieso, Carlos M. 
Alonso, Jesús B. 
Ferrer, Miguel A. 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Support vector machines , Support vector machine classification , Discrete wavelet transforms , Discrete cosine transforms , Fast Fourier transforms , Biometrics , Wavelet domain , Discrete Fourier transforms , Robustness , Image databases
Issue Date: 2004
Publisher: 1071-6572
Journal: null 
Abstract: In this paper, we propose a facial biometric identification system, using transformed domains such as discrete cosine transforms (DCT), fast Fourier transforms (FFT) and discrete wavelets transforms (DWT). As novel classifier system has been utilized a support vector machines (SVM) (Burges, 1998), and in addition, the way of computing transformed coefficients. With the above system, it has been obtained a simple and robust system with good results, upper to 98% with the ORL face database (400 images) from Olivetti Research Laboratory.
URI: http://hdl.handle.net/10553/44111
ISBN: 0-7803-8506-3
ISSN: 1071-6572
Source: Proceedings - International Carnahan Conference on Security Technology[ISSN 1071-6572], p. 321-324
Appears in Collections:Actas de Congresos

Show full item record

SCOPUSTM   
Citations

11
checked on Oct 18, 2019

WEB OF SCIENCETM
Citations

8
checked on Oct 19, 2019

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.