文章基本信息

标题：Review and Evaluation of Fingerprint SingularPoint Detection Algorithms
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作者：Gabriel Babatunde Iwasokun ; Sunday Olusegun Ojo
期刊名称：Current Journal of Applied Science and Technology
印刷版ISSN：2457-1024
出版年度：2014
卷号：4
期号：35
页码：4918-4938
语种：English
出版社：Sciencedomain International
摘要：Fingerprint has continued to enjoy dominance over other biometrics like face, iris, nose, signature among others in human verification and authentication. This is promoted by its major characteristics which include availability, uniqueness, consistency and reliability. Fingerprint verification and authentication involves the serial stages of enrolment, processing and matching. Enrolment through a number of fingerprint capturing devices helps to read the fingerprint into a target location from where processing takes place. Processing of a fingerprint image involves enhancement, feature extraction and singular point detection. Matching of fingerprint is performed based on the extraction results to establish its source or similarity level. The extraction of true singular (core and delta) and feature points is paramount for a true fingerprint matching and a number of algorithms had been formulated to accomplish it. This paper presents a review and evaluation of commonly known fingerprint singular point detection algorithms with emphasis on methodologies, strengths and weaknesses.
关键词：Fingerprint;singular point;core and delta;Poincare;orientation field;geometry ofregion