This paper introduces a method to recover seriously deformed palm-print images via three-channel wavelet transform. Those filters sharing common input or output signals with other are called as a filters bank. The deformation processing in this paper is just like digital resample

in which a filters bank with three filters is implemented to the palm-print images for wavelet decomposition

and then a procedure of binary interpolating is performed after the image is reconstructed by another filters bank which also has three filters. A way on QMF method to design multi-channel wavelet filter banks is introduced in this paper

too. Because the wavelet transform has the feature of frequency division

the images are de-noised

eliminated the sample effect(the Morie stripe)

at the same time. The 3-channel wavelet transform extends multi-resolution wavelet analysis that can only be based on the scales 2j

thus makes the multi-resolution wavelet analysis more in detail. The method is feasible and the results are acceptable.