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- W2365804548 abstract "In order to improve the speed and the accuracy of fingerprint recognition,especially in the fingerprint database,the scale of which is increasing,fingerprint classification is very important.This paper presents a classification method based on the fusion of membership,and divides the fingerprint into five categories:whorl,arch,tended arch,reverse and reverse loop.This method takes full advantage of the fingerprint texture,adds up statistics by block,fuses the weighted membership,and highlights areas that can distinguish the type of fingerprints to improve the accuracy of classification.Experiments verify that the method has good classification performance." @default.
- W2365804548 created "2016-06-24" @default.
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- W2365804548 date "2012-01-01" @default.
- W2365804548 modified "2023-09-23" @default.
- W2365804548 title "Fingerprint classification method based on fusion of membership" @default.
- W2365804548 hasPublicationYear "2012" @default.
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