DocumentCode :
2527319
Title :
Direct Minutiae Matching in Gray-Level Fingerprint Images
Author :
Lee, Chih-Jen ; Yang, Tai-Ning ; Chen, Chun-Jung ; Lin, Keng-Li
Author_Institution :
Dept. of Comput. Sci., Chinese Culture Univ., Taipei
Volume :
3
fYear :
2006
fDate :
Aug. 30 2006-Sept. 1 2006
Firstpage :
577
Lastpage :
580
Abstract :
Most researchers applied the same procedure in both fingerprint enrollment and fingerprint verification. In general, many overall pixel-level computations are employed in the procedure of fingerprint enrollment to obtain clear minutiae. Because the minutiae-matching is performed only once for one-to-one verification, we propose a different procedure to directly check the positions of minutiae in gray-level fingerprint images. Therefore, this approach avoids some time-consuming overall pixel-level computations and achieves a fast minutiae matching
Keywords :
feature extraction; fingerprint identification; image classification; image enhancement; image matching; image resolution; direct minutiae matching; fingerprint enrollment; fingerprint verification; gray-level fingerprint image; pixel-level computation; Bifurcation; Computer science; Feature extraction; Fingerprint recognition; Frequency; Gabor filters; Image enhancement; Image matching; Image recognition; Pixel;
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.2006.438
Filename :
1692242
Link To Document :
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