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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/96005

    Title: Minutiae Verification with Principal Component Analysis For Fingerprint Image Postprocessing
    Authors: 謝景棠;賴友人;徐世榮;王有傳
    Contributors: 淡江大學電機工程學系
    Keywords: Fingerprint image postprocessing;Minutiae-based;Principle componentanalysis;Local ridge orientations;Wavelet transform
    Date: 2003-08
    Issue Date: 2014-02-13 11:33:43 (UTC+8)
    Abstract: Minutiae are the two most prominent and well-accepted classes of fingerprint features arising from local ridge discontinuities: ridge endings and ridge bifurcations. However, the preprocessing stage doesn't eliminate all possible defects in the original gray-level image and the orientation estimation in a poor image is extremely unreliable. In order to further eliminate the false minutiae caused by low quality, a minutiae verification mechanism is proposed to improve the identification performance. The minutiae verification mechanism uses the concept of eigen-codebook to find the optimal projection bases for true minutiae regions and false minutiae regions. Experimental results show that the performance is improved efficiently even less training data.
    Relation: 第十六屆電腦視覺、圖學暨影像處理研討會論文摘要集=Proceedings of 16th Conference on Computer Vision, Graphics, and Image Processing,頁182-187
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Proceeding

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