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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/95926

    Title: A Fingerprint Identification System Based on Neural Fuzzy Network
    Authors: Hsieh, Ching-Tang;Hu, Chia-Shing
    Contributors: 淡江大學電機工程學系
    Keywords: Fuzzy system;Neural network;Image analysis;Fingerprintidentification
    Date: 2005-04
    Issue Date: 2014-02-13 11:22:14 (UTC+8)
    Abstract: Because fingerprint patterns are fuzzy in nature and ridge endings are changed easily by scares, we try to only use ridge bifurcation as fingerprints minutiae and also design a“fuzzy feature image”encoder by using cone membership function to represent the structure of ridge bifurcation features extracted from fingerprint. Then, we integrate the fuzzy encoder with back-propagation neural network (BPNN) as a recognizer which has variable fault tolerances for fingerprint recognition. Our experimental results have show that the proposed fingerprint recognition system is robust, reliable and rapid.
    Relation: 2005年國際系統與信號研討會論文集=Proceedings of 2005 International Conference on System & Signals (ICSS2005),6頁
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Proceeding

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