DocumentCode :
2529909
Title :
Face recognition system using SVM-based classifier
Author :
Frolov, Igor ; Sadykhov, Rauf
Author_Institution :
Belarusian State Univ. of Inf. & Radioelectron., Minsk, Belarus
fYear :
2009
fDate :
21-23 Sept. 2009
Firstpage :
394
Lastpage :
399
Abstract :
The development of automatic visual control system is a very important research topic in computer vision. There is an complex task of development face identification system robust to the various quality of the images as light, face expression, glasses, beards, moustaches etc. We propose using the wavelet transformation algorithms for reduction the source data space. We have realized an expansion of pixels values to the whole intensity range and the equalization of histogram for the elimination of the intensity difference. The support vector machines technology has been used for the face recognition in our work.
Keywords :
computer vision; face recognition; feature extraction; image classification; support vector machines; wavelet transforms; SVM-based classifier; automatic visual control system; computer vision; face recognition system; source data space reduction; wavelet transformation algorithm; Automatic control; Computer vision; Control systems; Face detection; Face recognition; Glass; Histograms; Robustness; Space technology; Support vector machines; Face identification; discrete wavelet transformation; pattern recognition; support vector machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2009. IDAACS 2009. IEEE International Workshop on
Conference_Location :
Rende
Print_ISBN :
978-1-4244-4901-9
Electronic_ISBN :
978-1-4244-4882-1
Type :
conf
DOI :
10.1109/IDAACS.2009.5342952
Filename :
5342952
Link To Document :
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