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- W2148394080 abstract "Human fingerprints are rich in details denoted minutiae. In this paper a method of minutiae extraction from fingerprint skeletons is described. To identify the different shapes and types of minutiae a neural network is trained to work as a classifier. The proposed neural network is applied throughout the fingerprint skeleton to locate various minutiae. A scheme to speed up the process is also presented. Extracted minutiae can then be used as identification marks for automatic fingerprint matching." @default.
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- W2148394080 date "2006-01-01" @default.
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- W2148394080 title "Neural Network based Minutiae Extraction from Skeletonized Fingerprints" @default.
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- W2148394080 doi "https://doi.org/10.1109/tencon.2006.344104" @default.
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