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 ima...

Full description

Saved in:

Bibliographic Details
Published in:	Journal of medical engineering & technology Vol. 30; no. 5; pp. 310 - 314
Main Authors:	Qiao, Y. -H., Li, F. -Q., Qiao, A. -K., Zhang, J. -H., Liang, K., Zeng, Y. -J.
Format:	Journal Article
Language:	English
Published:	England Informa UK Ltd 01-09-2006 Taylor & Francis
Subjects:	Dermatoglyphics Hand Humans Image Processing, Computer-Assisted - methods
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	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.
Bibliography:	ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2
ISSN:	0309-1902 1464-522X
DOI:	10.1080/03091900500285379