Anti-Theft Car Tracking and Controlling Security System based on Face Recognition

This paper proposes an intelligent anti-theft car security system, which uses biometric application like Face Recognition to identify thief along with GPS module which tracks and locates the car. The proposed system consists of Embedded control ARM processor platform, face recognition system, GPS (Global Positioning System) and MMS (Multimedia Messaging Service) modules used for preventing loss of vehicle. The Face recognition system based on Weber Law Descriptor (WLD) divides image into number of blocks, then WLD is calculated for each block in different neighborhoods and WLD histograms are obtained from blocks of an image to preserve spatial information. WLD histogram from different blocks is concatenated to produce the final feature set of a face image. This extracted feature set of face image is compared with feature set of database image and real time user authentication is performed, if unauthorized entry is detected the unauthorized image of person is sent to owner of the car in the form of MMS using MMS module and seeing the image owner takes action of stopping the car by sending SMS to MMS module which further triggers interrupt to stop the car. Also by using GPS module exact location of car can be tracked and car can be prevented from theft