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    题名: A Fingerprint Identification System Based on Neural Fuzzy Network
    作者: Hsieh, Ching-Tang;Hu, Chia-Shing
    贡献者: 淡江大學電機工程學系
    关键词: Fuzzy system;Neural network;Image analysis;Fingerprintidentification
    日期: 2005-04
    上传时间: 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
    显示于类别:[電機工程學系暨研究所] 會議論文

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