文章基本信息

标题：Fingerprint Classification Techniques: A Review
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作者：Alaa Ahmed Abbood ; Ghazali Sulong
期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2014
卷号：11
期号：1
出版社：IJCSI Press
摘要：A biometric is the automatic identification of an individual that is based on physiological or behavioral characteristics. Due to its security-related applications and the current world political climate, biometric is currently the subject of intense research by both private and academic institutions. Fingerprint is emerging as the most common and trusted biometric for personal identification. The main objective of this paper is to review the extensive researches that have been done on fingerprint classification over the last four decades. In particular, it discusses the fingerprint features that are useful for distinguishing fingerprint classes and reviews the methods of classification that have been applied to the problem
关键词：fingerprint classification; singular point detection; segmentation; Biometric; orientation Field Estimation