In practice, identification ofcriminal in Malaysia is done through thumbprint identification. However, thistype of identification is constrained as most of criminal nowadays gettingcleverer not to leave their thumbprint on the scene. With the advent ofsecurity technology, cameras especially CCTV have been installed in many publicand private areas to provide surveillance activities. The footage of the CCTVcan be used to identify suspects on scene. However, because of limited softwaredeveloped to automatically detect the similarity between photo in the footageand recorded photo of criminals, the law enforce thumbprint identification. Inthis project, an automated facial recognition system for criminal database wasproposed using known python programming language. This system will be able todetect face and recognize face automatically. This will help the lawenforcements to detect or recognize suspect of the case if no thumbprintpresent on the scene.
Keywords: criminalidentification, face recognition, python, windows app, etc