文章基本信息

标题：Fingerprint Recognition Using Optimal Global Transformation
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作者：Masqueen Babu ; Dr. Renu Dhir
期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：6
出版社：S.S. Mishra
摘要：Fingerprints are the most widely used parameter for personal identification amongst all biometric based personal authentication systems. As most automatic fingerprint recognition systems are based on local features of ridge known as a minutiae, marking minutiae accurately and rejecting false ones is critically important. This paper is a study and implementation of a fingerprint recognition system based on Minutiae based matching which is quite frequently used in various fingerprint algorithms and techniques. This approach mainly involves extraction of minutiae points from the sample fingerprint images and then performing fingerprint matching based on the score of minutiae pairings among two fingerprints. Our implementation mainly assimilates image enhancement, image segmentation, feature extraction and minutiae matching. It finally generates a percentage score which tells whether two fingerprints match or not.
关键词：Fingerprints; Feature Extraction; Minutiae; False Accept Rate; False Reject Rate