International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 03 Issue: 12 | Dec -2016 www.irjet.net p-ISSN: 2395-0072 © 2016, IRJET | Impact Factor value: 4.45 | ISO 9001:2008 Certified Journal | Page 112 Automatic Identification Of Criminal Faces In Public Area Snehal Patil 1 , Ashwini Garje 2 , Shanil Pawar 3 ,Diksha Gaikwad 4 Prof. Sayali Shivarkar 5 (ME COMP.) Dept. of Computer Engineering, Dhole Patil College of Engineering, Pune, Maharashtra,india ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Face recognition systems are an important field in computer vision and are currently used to monitor for dangerous persons and track criminals. A face recognition system uses a database of images and compares another image against those to find a match, if one exists. We implemented an original face recognizer in Java and tested it for recall and accuracy with three image sets. We found that the distances between the eyes, nose, and mouth were not useful as they vary little between people. Overall, our method achieved good results. For scenarios like surveillance which require low false negatives, our accuracy rate was 75% For detecting & recognizing the face of criminal in crowd the picture of the person is taken through the camera. The pictures are taken from different direction of the faces ,those picture are then send to the static image repository, then unique data is extracted from that image repository and then template is created from that extracted data. Then created template data get converted into binary form & then it is passed to the central template database. The central database system has various picture into which the template which is created matched with new sample data, and finally the system decides whether the feature that are extracted from new samples are match or a non-match. Key Words :-Neural networks ;Feature analysis ;Graph matching ;Information theory. 1.INTRODUCTION In this digital world as everywhere computerized systems are working, we are taken initiative to help the security systems and policemen’s for grabbing the criminals and criminal background persons. Automatic System Person Recognition system is the improvement that has taken place in field of identifying and locating criminals in such public places like hotels, lodges, airports etc. Main system is at another side which is a one type of web application and this application takes snaps of IR cameras and then continuously matching these pictures/images with available databases of criminals. If any image is matching then a system alert is generated and it will be the indication for Policemen’s that identified person will be the susceptible one. This system is helpful and advance for our security agencies. It is also saves time, money, travelling expenses of police vehicles. 1.1 CURRENT RESEARCH ON FACE RECOGNITION AND TECHNIQUES AVAILABLE Before you begin to format your paper, first write and save the content as a separate text file. Keep your text and graphic files separate until after the text has been formatted and styled. Don’t use hard tabs, and limit use of hard returns to only one return at the end of a paragraph. Do not add any kind of pagination anywhere in the paper. Do not number text heads-the template will do that for you. Finally, complete content and organizational editing before formatting. Please take note of the following items when proofreading spelling and grammar: 2.1 Two-Dimensional and Three-Dimensional Techniques In the early years of the 21st century, we found ourselves continually moving further away from the necessity of physical human interaction playing a major part of everyday tasks. Striding ever closer to an automated society, we interact more frequently with mechanical agents, anonymous users and the electronic information sources of the World Wide Web, than with our human counterparts. It is therefore perhaps ironic that identity has become such an important issue in the 21st century. It would seem that in an age where fraud is costing the public Billions of pounds every year and even the most powerful nations are powerless against a few extremists with a flight ticket, it is not who we are that is important, but rather, that we are who we claim to be. For these reasons, biometric authentication has already begun a rapid growth in a wide range of market sectors and will undoubtedly continue to do so, until biometric scans are