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