Palmprint recognition combining LDA and the center band of Fourier magnitude

Authors:
Dan-Feng Zhu;Hong Wang;Yi-Hai Zhu;Jing Wei
Affiliations:
Intelligent Computing Lab, Hefei Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui, China and College of Mathematics and Computer Science, Shanxi Normal University, Linf ...;College of Mathematics and Computer Science, Shanxi Normal University, Linfen, Shanxi, P.R. China;Intelligent Computing Lab, Hefei Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui, China;Intelligent Computing Lab, Hefei Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui, China and College of Mathematics and Computer Science, Shanxi Normal University, Linf ...
Venue:
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
Year:
2009

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Abstract

In this paper, an effective algorithm has been proposed for palmprint recognition combining Fourier Transform and Linear Discriminant Analysis (LDA). For Fourier representation, we only exploit the center band of Fourier magnitude for recognition. The results of experiments conducted on PolyU palmprint database demonstrate the effectiveness of proposed method. All in all, the proposed method that is robust against illumination in this paper is a suitable even wonderful method for palmprint recognition.