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.
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© 2009 Springer-Verlag Berlin Heidelberg
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Zhu, DF., Wang, H., Zhu, YH., Wei, J. (2009). Palmprint Recognition Combining LDA and the Center Band of Fourier Magnitude. In: Huang, DS., Jo, KH., Lee, HH., Kang, HJ., Bevilacqua, V. (eds) Emerging Intelligent Computing Technology and Applications. ICIC 2009. Lecture Notes in Computer Science, vol 5754. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04070-2_43
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DOI: https://doi.org/10.1007/978-3-642-04070-2_43
Publisher Name: Springer, Berlin, Heidelberg
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