Fingerprint Spoofing Detection using HOG and Local Binary Pattern

Abstract: Nowadays for biometric authentication system are used for security applications like verification and identification. Fingerprint, face and iris are the various biometric traits. Since the biometric traits are unique in nature, it is possible to avoid problems like password stolen or forgotten. Biometric has the capability to distinguish between real and fake. In this for software based fingerprint liveness detection we use Local Binary Pattern (LBP) for texture classification and Histogram of Oriented Gradient (HOG) for object detection and uses Support Vector Machine (SVM) classifies for classification. Through classification it is possible to distinguish between real and fake.

Keywords: Local Binary Pattern, Histogram of oriented gradients (HOG), Support Vector Machine (SVM).