DocumentCode :
2259752
Title :
A Gray-Scale Face Recognition Approach
Author :
Wang, Weihua ; Wang, WeiFu
Author_Institution :
Sch. of Comput., Chongqing Univ. of Arts & Sci., Chongqing
Volume :
1
fYear :
2008
fDate :
20-22 Dec. 2008
Firstpage :
395
Lastpage :
398
Abstract :
Face recognition has been a focus in research for the last couple of decades because of its wide potential applications and its importance to meet the security needs of today´s world. However, the network is very complex and therefore it is difficult to train. To reduce complexity, neural network is often applied to the pattern recognition phase rather than to the feature extraction phase. In order to cope with such complication and find out the true invariant for recognition, researchers have developed various recognition algorithms. In this paper, we give a new face recognition algorithm based on gray-scale. The paper shows the readers the basic principle of this face recognition algorithm, the implement of the new face recognition approach, the advantage of the new algorithm, and shows higher recognition rate than eigenface algorithm in the same experiment conditions according to our practices.
Keywords :
face recognition; feature extraction; eigenface algorithm; feature extraction; gray-scale face recognition approach; neural network; pattern recognition; Application software; Face detection; Face recognition; Feature extraction; Gray-scale; Image converters; Image recognition; Neural networks; Pattern recognition; Pixel; Eigenface Algorithm; Face Recognition; Gray-Scale;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3497-8
Type :
conf
DOI :
10.1109/IITA.2008.101
Filename :
4739602
Link To Document :
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