Paper Info
Title
Fingerprint enhancement based on non-separable wavelet.
Abstract
Fingerprint enhancement is necessary for low quality images. In this paper, we develop a new method for fingerprint enhancement based on non-separable filter banks. We first decompose the fingerprint image using the non-separable filter banks, which can decompose the fingerprint image efficiently and obtain wavelet coefficients, then modifies the coefficients by applying the adaptive approach to reduce the noises and increase the contrast between ridges and valleys according to the geometry feature of images. Then we apply the inverse wavelet transform to map the result and use a two-dimensional median filter to reduce noise and preserve edges. Experiments have been conducted on the fingerprint database FVC2002 in our study. The results demonstrate that the proposed method works well in fingerprint enhancement without under-enhancement and over-enhancement, and it is more effective and robust than other existing methods. © 2010 IEEE.
Year
DOI
Venue
2010
10.1109/COGINF.2010.5599722
IEEE ICCI
Keywords
Field
DocType
biometric,fingerprint enhancement,nonseparable filter banks,wavelet,fingerprint identification,image reconstruction,histograms,wavelet transforms,noise,wavelet transform,filter bank,median filter,fingerprint recognition,tensile stress
Iterative reconstruction,Histogram,Computer vision,Median filter,Pattern recognition,Fingerprint recognition,Fingerprint,Artificial intelligence,Biometrics,Mathematics,Wavelet transform,Wavelet
Conference
Volume
Issue
Citations 
null
null
0
PageRank 
References 
Authors
0.34
6
6
Name
Order
Citations
PageRank
Jiajia Lei11065.18
H. Hatem200.34
Long Zhou32911.00
Xinge You4144183.00
patrick s p wang530347.66
Duanquan Xu622.41