DocumentCode
2017109
Title
An Effective and Robust Fingerprint Enhancement Method
Author
Yu, Chengpu ; Xie, Mei ; Qi, Jin
Author_Institution
Univ. of Electron. Sci. & Technol. of China, Chengdu
Volume
2
fYear
2008
fDate
17-18 Oct. 2008
Firstpage
110
Lastpage
113
Abstract
Fingerprint enhancement is a critical part in an automatic fingerprint verification system, which can improve the quality of the fingerprint and extract reliable minutiae in a fingerprint. In this paper, we proposed an effective and robust algorithm for fingerprint enhancement. Firstly, we use contrast stretching approach to improve the clarity between foreground and background of the fingerprint image. Then we utilize the structure tensor property to estimate the fingerprint orientation to improve the accuracy of orientation estimation. Finally, we combine the advantages of Gabor filtering method and diffusion filtering method, and adopt low-pass filter at the direction that is parallel to the ridge, and adopt band-pass filter at the direction that is perpendicular to the ridge. In the experiment, we have evaluated the performance of our method for fingerprint enhancement, and the results show that our algorithm performs much better within less time.
Keywords
Gabor filters; band-pass filters; feature extraction; fingerprint identification; image enhancement; low-pass filters; Gabor filtering; automatic fingerprint verification system; band-pass filter; contrast stretching approach; diffusion filtering; fingerprint enhancement; fingerprint orientation estimation; low-pass filter; structure tensor property; Band pass filters; Computational intelligence; Eigenvalues and eigenfunctions; Filtering; Fingerprint recognition; Gabor filters; Image matching; Low pass filters; Robustness; Tensile stress;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Design, 2008. ISCID '08. International Symposium on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3311-7
Type
conf
DOI
10.1109/ISCID.2008.157
Filename
4725469
Link To Document