CRIMINAL FACE DETECTION USING DEEP LEARING

CRIMINAL FACE DETECTION USING DEEP LEARING

Kharche Rutuja Bhanudas, Kondhalkar Sakshi Kiran, Muluk Sayali Siddheshwar, Sawai Komal Kadunath, Prof Neelam Jadhav

Department of Computer Engineering

Genba Sopanrao Moze College of Engineering Balewadi,Pune – India

ABSTRACT

A criminal record contains both personal information about a person and an image ofthat person. To identify a criminal, we need personal information about that person, which an eyewitness can supply. Fingerprints, eyes, and DNA are all methods for identifying someone. One of theuses is face recognition. The face is our primary focus of attention in social interactions, and it plays a vital role in communicating identity and emotion. Although it is impossible to discern intelligence or character from a person's face, humans have an exceptional abilityo remember and distinguish faces. An automatic facial recognition system for criminal records was proposed using the well-known Principal Component Analysis technique. This technology will be able to Detect and distinguish faces automatically. If there is no thumbprint on the scene, law enforcement will have an easier time locating or identifying the suspect. The goal of this project is to examine several techniques to face detection and recognition in order to create a full solution for image- based face detection and recognition that is more accurate, has a better response rate, and may be utilized as a first step in video surveillance. The proposed solution is basedon testing results from multiple face- rich datasets in terms of subjects, position,emotions, and light.

Keywords: CIS, CNN, Deep Learning, Criminals and criminal face detection