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The techniques for face recognition with support vector machines

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2 Author(s)
Igor Frolov ; Belarusian State University, of Informatics and Radioelectronics, 6, P. Brovka str., Minsk, Belarus ; Rauf Sadykhov

The development of automatic visual control system is a very important research topic in computer vision. This face identification system must be robust to the various quality of the images such as light, face expression, glasses, beards, moustaches etc. We propose using the wavelet transformation algorithms for reduction the source data space. We have realized the method of the expansion of the values of pixels to the whole intensity range and the algorithm of the equalization of histogram to adjust image intensity values. The support vector machines (SVM) technology has been used for the face recognition in our work.

Published in:

2009 International Multiconference on Computer Science and Information Technology

Date of Conference:

12-14 Oct. 2009