DocumentCode :
2842443
Title :
Modified PCNN Filtering for Fingerprint Enhancement
Author :
Ji, Luping ; Pu, Xiaorong ; Liu, Guisong
Author_Institution :
Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China Chengdu, Chengdu, China
Volume :
2
fYear :
2009
fDate :
14-16 Aug. 2009
Firstpage :
404
Lastpage :
408
Abstract :
Enhancement is an important step in fingerprint system. This paper presents one fingerprint enhancement algorithm, which is based on a modified pulse coupled neural network (PCNN). It preprocesses fingerprint to obtain image and orientation masks, and then it iteratively enhances the image by PCNN filtering by the constraints of these two masks. Experiments on FVC2004 databases show that this algorithm is able to enhance fingerprint effectively, and it could also significantly improve the recognition performance of a fingerprint system.
Keywords :
fingerprint identification; image enhancement; neural nets; fingerprint enhancement; fingerprint system; image enhancement; modified PCNN filtering; modified pulse coupled neural network; orientation mask; Algorithm design and analysis; Computer science; Filtering; Fingerprint recognition; Gabor filters; Image databases; Image matching; Image quality; Iterative algorithms; Neural networks; fingerprint enhancement; modified PCNN;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
Type :
conf
DOI :
10.1109/ICNC.2009.360
Filename :
5364857
Link To Document :
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