Survey on Face Recognition with pre filtering Techniques and their comparative study

Abstract

Face is a very crucial aspect with respect to recognizing as it stands out as a unique feature. The normal human has distinct facial features that can be mapped and remembered. Security and privacy are very important topics given the trend and issues that are being faced by normal people. The face place a crucial aspect in giving out emotions and identification Facial recognition is a very flexible detection method and has the freedom that the subject wouldn't know if he's scanned. The facial features can be systematically analyzed that are common to everyone's face. The distance between the jaw line and the chin, the one between the eyes and nose, position of cheekbones all of these can be taken up as numerical values and analyze these specific features and map it to a person. There are instances where the recognition becomes a tougher due to external factors like variations in poses, emotional variants, non-controllable environmental conditions, ageing etc. In order to understand the techniques in depth and it plays a crucial role in the future of face recognition and its role in privacy and authentication. There are numerous methods that have been constructed and structured and each one has its pros and cons and other important aspects of facial recognition techniques. And we've got the comparative analysis of the available techniques and their advantages and disadvantages. We have put light in to pre-filtering techniques and edge detection methods to optimize the recognition of dicey aspects of a face, the whole idea is to understand the better aspects of the facial recognition with additional techniques that will help the future of this detection mechanism