Face Recognition of Identical Twins Based On Support Vector Machine Classifier

Face recognition and biometrics are based on a specific and unique person identification. This procedure is completely dependent on matching the image and other individual image for generating a recognizable proof. This is the one of the best approaches to perform the correlation by choosing facial attributes from the image and from a facial database. In facial recognition calculations ought to have the option to recognize the comparative looking people or ready to isolate the identical twins utilizing face recognition with precision classification. The extract attributes were classified utilizing SVM classifier. The input image of an individual is first identified to be twins or not founded on classification techniques. SVM could be used for both regression and classification challenges. It is commonly used in taxonomy problems. SVM is less computationally intensive and generalizable. Therefore, it would be extensively studied and rapidly developed in recent years.