Mathematical Modeling for Face Recognition System
Ajit U. Ushir, Ajinkya A. Shete, Sanika N. Tiwari, Vasanti R. Vishwakarma, Mahesh R. Sanghavi · 2013
Face recognition system is a desktop application which is used to recognize human faces without human intervention in a video frame, an image or video file. It is an imminent issue in various domains. Due to wide range of increase in crime it can play a significant role in crime management and law enforcement. In this paper, Eigenfaces method is used for face recognition to improve its performance we have introduced key-frame concept by using color histogram. In the recognition process, an eigenface is created for the given face image, and the Euclidian distances between this eigenface and the pre stored eigenfaces are calculated. The eigenface with the least Euclidian distance is the one the person resembles the most. This technique is the first successful method in face recognition area.