DocumentCode :
2152854
Title :
Adaptive Fingerprint Image Enhancement with Contourlet Transform
Author :
Cheng, Guang-Quan ; Cheng, Li-Zhi
Volume :
3
fYear :
2008
fDate :
27-30 May 2008
Firstpage :
261
Lastpage :
264
Abstract :
The quality of fingerprint images highly affects the performance of Integrated Automated Fingerprint Identification Service. An effective method is essential to enhance the fingerprint image. Based on the study of intrinsic feature of fingerprint images, we propose a new approach for fingerprint image enhancement via contourlet transform in this paper. Our method is adaptive for orientation estimation and coefficients modification, which is robust and efficient. The experimental results show that our proposed algorithm can increase the contrast between ridges and valleys, and reduce noises in the gray-scale fingerprint images from FVC2002.
Keywords :
Anisotropic filters; Filter bank; Fingerprint recognition; Frequency; Gabor filters; Geometry; Image matching; Noise reduction; Signal processing algorithms; Wavelet transforms; Directional medium filter; Fingerprint image enhancement; Orientation estimation; The Contourlet transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing, 2008. CISP '08. Congress on
Conference_Location :
Sanya, China
Print_ISBN :
978-0-7695-3119-9
Type :
conf
DOI :
10.1109/CISP.2008.434
Filename :
4566485
Link To Document :
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