期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2014
卷号：3
期号：8
页码：15572
DOI：10.15680/IJIRSET.2014.0308068
出版社：S&S Publications
摘要：Fingerprint image segmentation is part of pre-processing in fingerprint image recognition system. It hasa critical effect to the fingerprint image recognition system. Regardless of years of research in the area of generalpurpose image segmentation, it is still a very challenging task. A new image decomposition scheme, called theAdaptive and Orientation algorithm, is proposed to achieve effective segmentation for fingerprint images in this work.The proposed model is inspired by total variation models, but it differentiates itself by integrating two unique featuresof fingerprints; namely, scale and orientation. The proposed Adaptive and Orientation algorithm decomposes afingerprint image into two layers: cartoon and texture. The cartoon layer contains unwanted components (e.g.structured noise) while the texture layer mainly consists of the latent fingerprint. Proposed segmentation algorithm isexperimented and analyzed for two different fingerprint images. The PSNR for image segmentation has been used as acomparison parameter for proposed image segmentation methods.
关键词：Image recognition; Fingerprint Segmentation; Fingerprint Image Pre-processing; Total Variation;Ridge Orientation.
