期刊名称：International Journal of New Computer Architectures and their Applications
印刷版ISSN：2220-9085
出版年度：2012
卷号：2
期号：1
页码：1-7
出版社：Society of Digital Information and Wireless Communications
摘要：A singular point or singularity on fingerprint is considered as a finger- print landmark due its scale, shift, and rotation immutability. It is used for both fingerprint classification and alignment in automatic fingerprint identification systems. This paper presents a comparative study between two singular point detection methods available in the literature. The com- parative study has been conducted on the Poincar¨¦ index and the complex filter methods, and it aims to catch the optimum singular point detection method in terms of the processing time and the detection accuracy. More- over, discovering the processing time bottlenecks for both methods is an advanced step to improve the their performance. The optimum detection method in both processing time and detection accuracy will be updated to suite our efficient classification method. The conducted experimental evaluation for both methods proved that the maximum accuracy achieved by the complex filter is up to 95% with a considerable processing time and 90% with the Poincar¨¦ index method with a higher processing time.
