DocumentCode :
3448006
Title :
A design of face detection system using the GA and the simple PCA
Author :
Takimoto, Hironori ; Mitsukura, Yasue ; Fukumi, Minoru ; Akamatsu, N.
Author_Institution :
Tokushima Univ., Japan
Volume :
4
fYear :
2002
fDate :
18-22 Nov. 2002
Firstpage :
2069
Abstract :
Recently in the world, many researches of individual recognition method using biometrics are widely done. Especially, individual recognition using faces are used because of needless for physical contact. When we specify with an individual, the information from a face is the most reliable. In this paper, we propose the new method of individual recognition using Simple PCA and NN. Individual recognition system needs to have not only ability to recognize the registrant correctly but also ability to reject the other person certainly. therefore, our objective is to reject certainly the other person. Furthermore, we analyzed and examined about the individual feature in a face using GA. Moreover, in order to show the effectiveness of the proposed method, we show computer simulations by using real image. From these results, we show the effectiveness.
Keywords :
biometrics (access control); face recognition; feature extraction; genetic algorithms; biometrics; eigenvector; face detection; genetic algorithm; individual recognition; principle component analysis; recognition; simple principle component analysis; Biometrics; Computer simulation; Costs; Face detection; Face recognition; Image analysis; Iris; Neural networks; Principal component analysis; Safety;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
Print_ISBN :
981-04-7524-1
Type :
conf
DOI :
10.1109/ICONIP.2002.1199039
Filename :
1199039
Link To Document :
بازگشت