DocumentCode :
458926
Title :
Face Recognition by Using Combined Method of Centroid Shift and Fixed-Point ICA Based on Secant Method
Author :
Cho, Yong-Hyun ; Hong, Seong-Jun ; Park, Sang-Mi
Author_Institution :
Sch. of Comput. & Inf. Comm. Eng, Catholic Univ. of Daegu, Kyungbuk
Volume :
1
fYear :
2006
fDate :
16-18 Oct. 2006
Firstpage :
1044
Lastpage :
1048
Abstract :
This paper proposes a face recognition using both a preprocessing method by centroid shift and a fixed-point (FP) independent component analysis (ICA) based on secant method. The centroid shift is applied to find a validity image by removing the background of source images. FP-ICA of secant method is an alternate of the conventional FP-ICA based on Newton´s method, which is to exclude the complex computation of differential process in Newton´s method. The proposed method has been applied to a problem which recognizes the 48 Yale face images. The experimental results show that the proposed FP-ICA method is superior to the conventional in the recognition performance for the test images and that the case preprocessed with the proposed method has better outcome in face recognition rate and processing time than the cases not preprocessed
Keywords :
Newton method; computational complexity; face recognition; independent component analysis; Newton´s method; Yale face images; centroid shift; face recognition; fixed-point ICA; independent component analysis; secant method; source images; validity image; Convergence; Face recognition; Feature extraction; Image recognition; Independent component analysis; Newton method; Principal component analysis; Signal processing; Signal processing algorithms; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
Conference_Location :
Jinan
Print_ISBN :
0-7695-2528-8
Type :
conf
DOI :
10.1109/ISDA.2006.145
Filename :
4021583
Link To Document :
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