DocumentCode :
1574412
Title :
Face recognition based on 2DPCA and DWT
Author :
Song, Liu ; Min, Luo
Author_Institution :
Coll. of Inf. Eng., HuBei Inst. for Nat., Enshi, China
Volume :
2
fYear :
2011
Firstpage :
1459
Lastpage :
1462
Abstract :
A face recognition method based on two dimension principle component analysis and Discrete Wavelet Transform is proposed. We compared our methods with three face recognition algorithms, PCA, Wavelet+PCA and 2DPCA. In the experiments, the nearest neighbor classifier is used to recognize different faces from the ORL face database. Experimental results show that the proposed method improved the recognition rate effectively in comparison with other three method, the best accuracy rate can reach 93%.
Keywords :
discrete wavelet transforms; face recognition; principal component analysis; visual databases; ORL face database; PCA; discrete wavelet transform; face recognition method; nearest neighbor classifier; two dimension principle component analysis; Algorithm design and analysis; Databases; Discrete wavelet transforms; Matrix decomposition; Principal component analysis; Testing; Training; Discrete Wavelet Transform; face recognition; principle component analysis; the nearest neighbor classifier;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC), 2011
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-9792-8
Type :
conf
DOI :
10.1109/CSQRWC.2011.6037241
Filename :
6037241
Link To Document :
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