• BALAKRISHNAN S G
• NIRMALKUMAR P
• SEVVANTHIRAJ S
• YUVABALAJI P

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 avoid this situation an automated facial recognition system for criminal identification is proposed using Haar feature-based cascade classifier. This paper presents a real-time face recognition using an automated surveillance camera. This system will be able to detect and recognize face automatically in real-time. With the advent of security technology, cameras especially CCTV have been installed in many public and private areas to provide surveillance activities. The footage of the CCTV can be used to identify suspects on scene. In this paper, an automated facial recognition system for criminal database was proposed using known Haar feature-based cascade classifier. This system will be able to detect face and recognize face automatically in real time. An accurate location of the face is still a challenging task. Viola-Jones framework has been widely used by researchers in order to detect the location of faces and objects in a given image. Face detection classifiers are shared by public communities, such as OpenCV.

Facial Detection, Find Criminals Face

"EXTRACTING FACIAL FEATURES WITH FACE MATCHING DETECTION OF CRIMINALS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.a603-a609, May-2021, Available :http://www.jetir.org/papers/JETIR2105072.pdf

"EXTRACTING FACIAL FEATURES WITH FACE MATCHING DETECTION OF CRIMINALS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppa603-a609, May-2021, Available at : http://www.jetir.org/papers/JETIR2105072.pdf