CRIMINAL FACE DETECTION SYSTEM

International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC)

Abstract

Criminal Face Detection project aims to build a automated Criminal Face Detection system by levering the human ability to recall minute facial details. Identification of criminals at the scene of a crime can be achieved in many ways like fingerprinting, DNA matching or eye witness accounts. Out of these methods eye witness accounts are preferred because it stands scrutiny in court and it is a cost-effective method. It is possible that witnesses to a crime have seen the criminal though in most cases it may not be possible to completely see the face of the perpetrator. The Criminal Face Detection System will be built of an existing criminal database. Input would be provided in the form of sketch or an image and matched against the existing database and results would be provided. Criminal record generally contains personal information about particular person along with photograph. To identify any Criminal, we need some identification regarding person, which are given by eyewitness. In most cases the quality and resolution of the recorded image segments is poor and hard to identify a face. To overcome this sort of problem we are developing software. Identification can be done in many ways like finger print, eyes, DNA etc. One of the applications is face identification. The face is our primary focus of attention in social inters course playing a major role in conveying identify and emotion. Although the ability to infer intelligence or character from facial appearance is suspect, the human ability to recognize face is remarkable. The human face is a complicated multidimensional visual model and hence it is very difficult to develop a computational model for recognizing it. The paper presents a methodology for recognizing the human face based on the features derived from the image. The proposed methodology is implemented in two stages. The first stage detects the human face in an image using viola Jones algorithm. In the next stage the detected face in the image is recognized using a fusion of principle.

References

[1] Java in a Nut Shell - O’Rielly
[2] Using Java2 Platform - Joseph Weber
[3] The Complete Reference Java 1.2 - Herbert Schildt
[4] Core Java - Kenneth Paul
[5] Fundamentals Of System Concepts - Jerry Fitz Gerald
[6] System Analysis And Design - Elias M. Awad
[7] Object Oriented Modeling And Design - James

Keywords

Face Detection System, DNA, Human Face.