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