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    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/95926

    題名: A Fingerprint Identification System Based on Neural Fuzzy Network
    作者: Hsieh, Ching-Tang;Hu, Chia-Shing
    貢獻者: 淡江大學電機工程學系
    關鍵詞: Fuzzy system;Neural network;Image analysis;Fingerprintidentification
    日期: 2005-04
    上傳時間: 2014-02-13 11:22:14 (UTC+8)
    摘要: 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.
    關聯: 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
    顯示於類別:[電機工程學系暨研究所] 會議論文


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