文章基本信息

标题：Local Orientation Field Based Nonlocal Means Method for Fingerprint Image De-Noising
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作者：J. Zou ; J. B. Feng ; X. M. Zhang 等
期刊名称：Journal of Signal and Information Processing
印刷版ISSN：2159-4465
电子版ISSN：2159-4481
出版年度：2013
卷号：04
期号：03
页码：150-153
DOI：10.4236/jsip.2013.43B026
语种：English
出版社：Scientific Research Publishing
摘要：The de-noising of the fingerprint image is one of the key tasks before the extraction of the minutiae in automatic fingerprint matching. When used for de-noising the fingerprint image, the nonlocal means method can not preserve the local minutiae in the fingerprint image very well. To address this problem, we propose a local orientation field based nonlocal means (NLM-LOF) method in this paper. Experimental results on the simulated and real images show that the proposed method can suppress noise effectively while preserving edges and details in the fingerprint image and it outperforms the state-of-art nonlocal means method in terms of qualitative metrics and visual comparisons.
关键词：Fingerprint Image Denoising; Nonlocal Means Filtering; Orientation Field