DocumentCode
456803
Title
An Improved Unsharp Masking Method for Palmprint Image Enhancement
Author
Wang, Yanxia ; Ruan, Qiuqi
Author_Institution
Inst. of Inf. Sci., Beijing Jiaotong Univ.
Volume
2
fYear
2006
fDate
Aug. 30 2006-Sept. 1 2006
Firstpage
669
Lastpage
672
Abstract
The motive of palmprint image enhancement is to highlight the fine details of palm lines. In this paper, a fuzzy unsharp masking algorithm is presented to enhance the contrast of a palmprint image. This method introduces the fuzzy set theory into the unsharp masking scheme. Unsharp masking (UM) approaches are simple and effective for contrast enhancement of high-frequency components. Most of UM algorithms can effectively improve the contrast of principal lines, but insensitive to wrinkles. In order to further enhance the contrast of wrinkles, a half open membership function is used to transform the output of the filters into fuzzy domain. The palmprint image is enhanced in fuzzy field. The proposed method is compared with other techniques in the paper and the experimental result demonstrates that the proposed approach can enhance the fine details of palmprint image effectively
Keywords
Wiener filters; fuzzy set theory; image enhancement; Wiener filter; fuzzy membership function; fuzzy set theory; palmprint image enhancement; unsharp masking method; Frequency; Fuzzy control; Fuzzy set theory; Fuzzy sets; Image enhancement; Information science; Laplace equations; Nonlinear filters; Set theory; Wiener filter;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
Conference_Location
Beijing
Print_ISBN
0-7695-2616-0
Type
conf
DOI
10.1109/ICICIC.2006.233
Filename
1692075
Link To Document