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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, the authors 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.
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