文章基本信息

标题：Feature Extraction Algorithm of Fingerprint Recognition
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作者：Prateek Verma ; Yogesh Bahendwar ; Amrita Sahu 等
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：2012
卷号：2
期号：10
出版社：S.S. Mishra
摘要：Most fingerprint matching algorithms are based on finding correspondences between minutiae in two fingerprints. In this paper we present a modification of minutiae matching method, which utilizes correlation scores between the local neighbo urhood areas of corresponding minutiae pairs and the edges that connect neighbouring matched minutiae pairs. Minutiae based matching approach considers the overall minutiae distribution pattern between the two fingerprints. Neighbourhood correlation score represents the local similarity between the matched pair of minutiae. Edge correlation score gives the resemblance of areas that in between the two corresponding minutiae pairs. With identity fraud in our society reaching unprecedented proportions and with an increasing emphasis on the emerging automatic personal identification applications, biometrics-based verification, especially fingerprint-based identification, is receiving a lot of attention Biometrics deals with identifying individuals with help of their biological data. We match the finger prints, one that is already in the database of the sensor and second the fingerprint that we enrolled in the sensor currently by using the Boolean function X-ORING. We get the matching score and decide the result on the matching score basis, whether the fingerprint is matched or not. With the basis of that we will give it another application like attendance system.
关键词：Fingerprint; Biometrics; Artificial Intelligence; Sensors