[1]YAN Tingqin,ZHOU Changxiong.The research of improving PCA recognition rate of palmprints with BEMD[J].CAAI Transactions on Intelligent Systems,2013,8(4):377-380.[doi:10.3969/j.issn.1673-4785.201211002]
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The research of improving PCA recognition rate of palmprints with BEMD

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 8 Number of periods: 2013 4 Page number: 377-380 Column: 学术论文—机器学习 Public date: 2013-08-25
Title:
The research of improving PCA recognition rate of palmprints with BEMD
Author(s):
YAN Tingqin 1; 2; ZHOU Changxiong 1
1. Department of Electronic and Informational Engineering, Suzhou Vocational University, Suzhou 215104,China; 2. Suzhou High-tech Key Laboratory of Cloud Computing & Intelligent Information Processing, Suzhou Vocational University,Suzhou 215104 , China
Keywords:
BEMD;  IMF;  PCA;  palmprints;  Biometric identification
CLC:
TP391
DOI:
10.3969/j.issn.1673-4785.201211002
Abstract:
For improving the recognition rate of principal component analysis(PCA) which often used in palmprint online recognition system, a new palmprint recognition method with PCA and bi_dimensional emperical mode decomposition（BEMD） is proposed in this article. An image can be decomposed with BEMD in frequency domain, so it can be processed in different frequency domains. Because the low frequency part of palmprints sis often influenced by the background, the high frequency information is used in our experiment to highlight the personal characristics, and as the result, the recognition rate is improved and the speed is faster. The result of experiments with the palmprint database of Hong Kong Polytechnic University shows the recognition rate of BEMD and PCA is more higher than traditional PCA, and the results also indicate that this method plays an important role in both theoretical research and practical application.
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