Minutiae Verification with Principal Component Analysis For Fingerprint Image Postprocessing

淡江大學機構典藏 > 工學院 > 電機工程學系暨研究所 > 會議論文 > Item 987654321/96005

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题名:	Minutiae Verification with Principal Component Analysis For Fingerprint Image Postprocessing
作者:	謝景棠;賴友人;徐世榮;王有傳
贡献者:	淡江大學電機工程學系
关键词:	Fingerprint image postprocessing;Minutiae-based;Principle componentanalysis;Local ridge orientations;Wavelet transform
日期:	2003-08
上传时间:	2014-02-13 11:33:43 (UTC+8)
摘要:	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.
關聯:	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
显示于类别:	[電機工程學系暨研究所] 會議論文

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