Paper Info
Title
Modified PCNN Filtering for Fingerprint Enhancement
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.
Year
DOI
Venue
2009
10.1109/ICNC.2009.360
ICNC (2)
Keywords
Field
DocType
modified pcnn filtering,neural network,orientation mask,fvc2004 databases,fingerprint enhancement,recognition performance,important step,fingerprint system,modified pulse,fingerprint enhancement algorithm,algorithm design and analysis,fingerprint recognition,fingerprint identification,neural nets,manganese,pixel
Computer vision,Algorithm design,Fingerprint recognition,Computer science,Filter (signal processing),Fingerprint,Artificial intelligence,Pixel,Artificial neural network,Machine learning,Signal processing algorithms
Conference
Citations 
PageRank 
References 
0
0.34
15
Authors
3
Name
Order
Citations
PageRank
Luping Ji114910.31
Xiaorong Pu28511.17
Guisong Liu34212.84