Image extraction for vehicle theft detection using Neural Network

Abstract

The invent of new technology has paved way for a new direction in parking and securing system for vehicle. One of the major issue of the general publics is vehicle theft which can be handled by the typical security system. By utilizing the strategy of face recognition and the face detection, the vehicle theft will be avoided. The face recognition system which can be used as biometric data measures, whose applicability is simpler and trust worthy than others like unique mark in finger print, iris checking, signature, and so on. This paper proposes a framework that utilizes the blend of methods like face recognition and detection using Neural Network.The face recognition is performed on live images with no application field as a primary concern and it refers to the mental cycle process by which people find and take care of appearances in a visual scene. Processes used in the framework are white balance rectification, skin like district segmentation, facial component extraction and face image extraction on a candidate's face. At that time, a face arrangement technique is utilized the Feedforward Neural Network to coordinate the framework. Framework is additionally equipped for identifying and perceiving different faces in live gained security framework for vehicle.