DocumentCode :
1933274
Title :
The development features of the face recognition system
Author :
Sadykhov, Rauf ; Frolov, Igor
Author_Institution :
United Inst. of Inf. Problems, Minsk, Belarus
fYear :
2010
fDate :
18-20 Oct. 2010
Firstpage :
121
Lastpage :
128
Abstract :
Nowadays personal identification is a very important issue. There is a wide range of applications in different spheres, such as video surveillance security systems, control of documents, forensics systems and etc. We consider a range of most significant aspects of face identification system based on support vector machines in this paper. At first we propose improved face detector to get the region of interest for next face recognition. In paper the technique of face detection jointly image normalization is introduced. We compare three algorithms of feature extraction in application on face identification (PCA NIPALS, NNPCA, kernel PCA). The presented system is intended for process the image with low quality, the photo with the different facial expressions. Our goal is to develop face recognition techniques and create the system for face identification.
Keywords :
face recognition; documents control; face identification; face recognition system; forensics systems; support vector machines; video surveillance security systems; Artificial neural networks; Face; Face recognition; Feature extraction; Kernel; Pixel; Principal component analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Technology (IMCSIT), Proceedings of the 2010 International Multiconference on
Conference_Location :
Wisla
ISSN :
2157-5525
Print_ISBN :
978-1-4244-6432-6
Type :
conf
DOI :
10.1109/IMCSIT.2010.5680047
Filename :
5680047
Link To Document :
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