The Review of Various Methods and Color Models in Face Recogntion

The human being face is passing on extreme information related to the person expressing state. The sub category of biometrics as face recognition is considered as a major challenge in the area of several applications significantly for the identification and verification purposes such as for law enforcement, high security in banking systems, authentication for security system and particularly for the identification and verification of the person faces with other faces. In this review paper, mainly consists of three phases: (i) Face representation (ii) Extract the features and (iii) detection and recognition. The facial images, extract the unique features. Classification process compared with the images face images from the large facial datasets. Facial recognition is a real-time application such as a reliable and most important case for security. In this review paper, first, define an overview of facial recognition and describe the functionality. Consequently, it defines face recognition methods which are currently used to add their merits and demerits. The huge number of facial recognition methods, adding LBP, LDA, PCA and EIGEN faces for recognition. The various facial expression situation and illumination of images some methods specified here also enhances the effectiveness of facial recognition.