DocumentCode :
2871860
Title :
Knowledge based fingerprint image enhancement
Author :
Luo, Xiping ; Tian, Jie
Author_Institution :
Inst. of Autom., Acad. Sinica, Beijing, China
Volume :
4
fYear :
2000
fDate :
2000
Firstpage :
783
Abstract :
Fingerprint enhancement is a critical step in fingerprint identification. Most of the existing enhancement algorithms are based on local ridge direction. The main drawback of these methods lies in the fact that false estimate of local ridge direction will lead to poor enhancement. But the estimate of local ridge directions is unreliable in the areas corrupted by noise where enhancement is most needed. In this paper, we proposed a rule-based method to do fingerprint enhancement. We introduced human knowledge about fingerprints into the enhancement process in the form of rules and simulate what an expert will do to enhance a fingerprint image. In our method, the skeleton image is used to give ridge connection information for the enhancement of the binary image. Experiments show our algorithm is fast and has excellent performance
Keywords :
fingerprint identification; image enhancement; knowledge based systems; noise; binary image enhancement; fast algorithm; fingerprint identification; knowledge based fingerprint image enhancement; local ridge direction; ridge connection information; rule-based method; skeleton image; Automation; Bifurcation; Electronic mail; Fingerprint recognition; Gabor filters; Humans; Image matching; Joints; Pixel; Skeleton;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
ISSN :
1051-4651
Print_ISBN :
0-7695-0750-6
Type :
conf
DOI :
10.1109/ICPR.2000.903034
Filename :
903034
Link To Document :
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