Palm print image recovery and de-noising via multi-channel wavelet filter bank.
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.
Qiao
Y-H
YH
Biomedical Engineering Center, Beijing University of Technology, and Cancer Institute (Hospital), Chinese Academy of Medical Sciences, Beijing, 100022, PR China.
Li
F-Q
FQ
Qiao
A-K
AK
Zhang
J-H
JH
Liang
K
K
Zeng
Y-J
YJ
D003878:Dermatoglyphics; D006225:Hand; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*