Real Time Face Authentication Using Convolutional Neural Network
Sanjeev Sharma, Sagar Imambi Shaik · 2016
Face analysis is the recent and challenging technology for authentication and recognition. Researchers have been developing new techniques for face analysis for the past decades. This paper deals with the real time face authentication using Deep learning based Convolutional Neural Network (CNN) for high True Acceptance Rate (TAR). Face authentication is done by training the images of the persons to be claimed, thus it provides the confidence value with test images; if the score is above 0.7 then the person is authenticated. This paper has employed Constrained Local Model (CLM) for 3D alignment of Face Recognition Grand Challenge (FRGC) dataset thus achieving highest TAR of 91.5%.