CRIMINAL IDENTIFICATION SYSTEM BASED ON FACIAL RECOGNITION USING GENERALIZED GAUSSIAN MIXTURE MODEL.

Abstract

There is an abnormal increase in the crime rate and also the number of criminals is increasing, this leads towards a great concern about the security issues.  Crime preventions and criminal identification are the primary issues before the police personnel, since property and lives protection are the basic concerns of the police but to combat the crime, the availability of police personnel is limited.  To help the cops, comprehensive data regarding the criminals will be advantageous.  Data mining concepts proved to yield better results in this direction. In this paper, binary clustering and classification techniques have been used to analyze the criminal data. The crime data considered in this paper is from Andhra Pradesh police department this paper aims to potentially identify a criminal based on the facial evidence obtained through the CCT cameras or the identification based on witness/clue at the crime spot using a Generalized Gaussian Mixture  model.