期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：5
页码：7693
DOI：10.15680/IJIRSET.2017.0605051
出版社：S&S Publications
摘要：Fingerprint based authentication systems have developed rapidly in the current years. However, currentfingerprint based biometric systems are susceptible to spoofing attacks. Moreover, single feature based static come upto does not perform equally over different fingerprint sensors and spoofing materials. In this paper, we propose a staticsoftware approach. We propose to merge low level gradient features from Speeded-Up Robust Features (SURF),pyramid extension of the Histograms of Ori-ented Gradient (PHOG) and Principle Component analysis (PCA). Weextract these features from a single fingerprint image to overcome the issues faced in dynamic software approacheswhich require user cooperation and longer computational time.
