DocumentCode :
3325634
Title :
A new approach to random walk matching of fingerprint recognition
Author :
Lee, Ho Young ; Yu, Kyung Deok ; Choi, Tae Young
Author_Institution :
Sch. of Electron. Eng., Ajou Univ., Suwon, South Korea
fYear :
2004
fDate :
18-19 Nov. 2004
Firstpage :
39
Lastpage :
42
Abstract :
This paper presents a new algorithm called the random walk matching for fingerprint verification (or identification), which is based on the distribution of minutia points. First, it sorts minutia pairs according to their distances. Then, it makes a minutia tree based on the coordinate and the angular distance. Unlike existing algorithms, the algorithm shows robustness with respect to the orientation and the type of minutia. To test its efficiency, it is tested with the fingerprint images of FVC2002 database. The result shows an EER of 8.84%.
Keywords :
feature extraction; fingerprint identification; police data processing; EER; FVC2002 database fingerprint images; algorithm robustness; angular distance; fingerprint identification; fingerprint recognition; minutia coordinate; minutia orientation; minutia pair distances; minutia points distribution; minutia tree; random walk matching; Algorithm design and analysis; Bifurcation; Fingerprint recognition; Fingers; Image databases; Image matching; Pattern matching; Robustness; Testing; Transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Signal Processing and Communication Systems, 2004. ISPACS 2004. Proceedings of 2004 International Symposium on
Print_ISBN :
0-7803-8639-6
Type :
conf
DOI :
10.1109/ISPACS.2004.1439011
Filename :
1439011
Link To Document :
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