DocumentCode :
2460735
Title :
New enhancement algorithm for fingerprint images
Author :
Kim, Byung-Gyu ; Kim, Han-Ju ; Park, Dong-Jo
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
Volume :
3
fYear :
2002
fDate :
2002
Firstpage :
879
Abstract :
In this paper, an improved algorithm for enhancement of fingerprint image is proposed on the basis of the image normalization and Gabor filter Firstly, the adaptive normalization based on block processing is suggested for improvement of fingerprint images. An input image is partitioned into sub-blocks with the size of K × L at first and the region of interest (ROl) of the fingerprint image is acquired The parameters for the image normalization are adaptively determined according to the statistics of each block. By utilizing these parameters, the block image is normalized for the next process. Secondly, a new technique for selection of two important parameters of Gabor filter is devised. These parameters are the ridge direction and the ridge frequency. In this study, the ridge direction of a block image is determined by the probabilistic approach unlike other works. With this ridge direction, the ridge frequency is selected by utilizing the directional projection. The proposed algorithms are tested with NIST fingerprint images and show significant improvement in the experiments.
Keywords :
filtering theory; fingerprint identification; image enhancement; statistical analysis; Gabor filter; adaptive normalization; fingerprint image enhancement; image normalization; input image partitioning; statistics; sub-blocks; Biometrics; Dynamic range; Filtering; Fingerprint recognition; Frequency estimation; Gabor filters; Image matching; Pattern matching; Pixel; Termination of employment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-1695-X
Type :
conf
DOI :
10.1109/ICPR.2002.1048169
Filename :
1048169
Link To Document :
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