Secure reliable multimodel biometric fingerprint and face recognition
Sanjay Thakre, Ambikesh Kumar Gupta, Shilpi Burman Sharma · 2017
Biometrie image recognition is the process of studying the closest match region in between the examining images. The study of the recognition is done about the spatial pixels (picture element) among the image. Recognition of two different biometric features, finger print and face images are attempted. Finger print images are analyzed through every pixel. And face images are analyzed by the distance between various face mark identities and their relational distance difference (difference in distance and gonial angular value of left and right mandible bone). In this paper we are used principal component analysis completely out forms standards technique and curvelet transform. In the multi modal biometric technique are achieved good result with all security system for finger print and face recognition.