Face Recognition for Criminal Identification using Deep Learning

Abstract

Criminal identification has received much attention since it is a fundamental task in intelligent surveillance systems. In Malaysia identification of criminal is done through thumbprint identification. Criminal are very clever nowadays they do not leave their thumbprint on the scene and also evidences on the crime scene. With the advent of security technology, surveillance cameras installed in many public and private areas to observe surveillance activity. The footage of the surveillance camera can be used to identify suspects on scene. The proposed criminal identification system automatically detects the similarity between photo in the footage and recorded photo of criminals, based on facial recognition using CNN algorithm. The proposed method helps the law enforcements to detect or recognize suspect of the case if no thumbprint present on the scene.