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Journal of Medical Engineering & Technology Volume 30, 2006 - Issue 5
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Original

Palm print image recovery and de-noising via multi-channel wavelet filter bank

Y. -H. Qiao Biomedical Engineering Center, Beijing University of Technology, Beijing, 100022, PR China
,
F. -Q. Li Biomedical Engineering Center, Beijing University of Technology, Beijing, 100022, PR China
,
A. -K. Qiao Biomedical Engineering Center, Beijing University of Technology, Beijing, 100022, PR China
,
J. -H. Zhang Signal Theory Group, Department of Electrical Engineering and Information Sciences, Ruhr University Bochum, Bochum, 44780, Germany
,
K. Liang Cancer Institute (Hospital), Chinese Academy of Medical Sciences, Beijing Union Medical College, Beijing, 100021, PR China
&
Y. -J. Zeng Biomedical Engineering Center, Beijing University of Technology, Beijing, 100022, PR ChinaCorrespondence[email protected]
Pages 310-314 | Published online: 09 Jul 2009
 
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Abstract

In this paper, a 3-channel wavelet transform method is introduced to recover palm print images following serious deformation. The deformation processing is actually a kind of digital re-sampling. A filter bank consisting of three filters is implemented for wavelet decomposition of the palm print image, and then a procedure of binary interpolation is performed after the image is reconstructed by another filter bank consisting of another three filters. The design of multi-channel wavelet filter bank is based on the Quadrature Mirror Filter (QMF) method. Because the noise is caused by the Morie stripe, the images are further de-noised after the geometry deformation is addressed. Acceptable results have been obtained.

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