期刊名称：International Journal of Security and Its Applications
印刷版ISSN：1738-9976
出版年度：2011
卷号：5
期号：3
出版社：SERSC
摘要：Fingerprint is a reliable biometric which is used for personal verification. Current fingerprint verification techniques can be broadly classified as Minutiae-based, ridge feature-based, correlation-based and gradient-based. In this paper, we propose use of the statistical texture analysis of a fingerprint using spatial grey level dependence method (SGLDM) for discrimination and personal verification. This method extracts texture features by an algorithm based on the spatial grey level dependence method. The fingerprint images were chosen from DB1 and DB2 fingerprint databases of FVC 2002. Results show that fingerprint texture feature can be reasonably used for discrimination and for personal verification.
