A B S T R A C T
Biometrics is used in the process of authentication of a person by verifying or identifying that a user requesting a network resource is who he, she, or it claims to be, and vice versa. It uses the property that a human trait associated with a person itself like structure of finger, face details etc. By comparing the existing data with the incoming data we can verify the identity of a particular person. There are many types of biometric system like fingerprint recognition, face detection and recognition, iris recognition etc., these traits are used for human identification in surveillance system, criminal identification. Face is a complex multidimensional structure and needs good computing techniques for recognition. The face is our primary and first focus of attention in social life playing an important role in identity of individual. In this paper, we are proposing the fusion techniques for face identification system and compare it with Gaussian model and 2D Histogram. Also analyze the performance of the system using various performance parameters such as recognition rate, accuracy, true positive rate, and false negative rate.
Gaussian model, Accuracy, Fusion method, Histogram, Face Detection