Published Paper Details:

This paper presents a criminal detection framework that could help policemen to recognize the face of a criminal or a suspect is proposed. A client-server video based face recognition framework is used here. The framework applies face detection at the client side and face recognition at the server side. The face detection stage uses Viola Jones algorithm supported by Open CV. The face recognition stage is based on Local Binary Pattern Histogram (LBPH) is recently proposed algorithm for face feature extraction which is implemented using python. In this method LBP image is segmented into local regions and histogram of each is extracted and are concatenated to form a face descriptor. It mainly consists of three parts, namely face representation, feature extraction and classification. Face representation represents how to model a face and determines the successive algorithms of detection and recognition. The most useful and unique features of the face image are extracted in the feature extraction phase. In the classification the face image is compared with the images from the database. The proposed face detection and recognition is implemented using Android studio and Open CV library, and tested using Android Smartphone and Pcs.