Paper Title
Face Recognition using CNN by Hog and Bow Feature Extraction Approach

Abstract
As we see the Authentication play a vital role nowadays. And for this purpose Face is considered to be an most appropriate component . Face Recognition is technique that we use to compare the capture live or digital image from the stored image that we have in our database. Face Recognition is a technique which can easily contrived by intrinsic and extrinsic conditions. And in this situation we unable to get a desired result by using orthodox face recognition. To identify a person using the images previously taken. The recognition will be done according to the previous images of different suspects that we have in our database. This project helps us to recognize the face in any investigation department. Here the technique we are going to use here is we already store some images of the suspect in our database along with their details. These images are again stored in another database record so that to identify any suspect. The eyewitness may give some clues/hints regarding the suspect according to that we have matched the images that we have stored in our database. The image that we get after the clues that are given by eyewitness is matched 99% then we predict that he is the only suspect. Keywords - CNN, Hog, Bow, LDA, LBPH, HMM, Human Face Recognition; Distance Methods, PCA.