SURVEY ON FACE RECOGNITION USING CNN

Abstract– Face recognition is the process of identifying a human person by their face using current, highly developed technology. Face recognition has gained interest in the field of biometric in this post COVID era where face biometric is considered more than finger biometric. Face recognition has several uses, including attendance tracking, identity verification, law enforcement, and surveillance. Facial recognition has various steps involved, which is to recognize the face area from the RAW images, alignment of the face recognized, feature extraction and finally classification of the face. So in this survey paper, we are going to discuss and compare the various techniques which are involved in facial recognition using Convolutional Neural Network(CNN) and also about the accuracy which we get when using those methods.