• Ritik Rana
• Shiv Narayan Singh
• Yash Bochiwal
• Yogesh Mittal
• Anubhav Khurana

Law enforcement agencies worldwide have long faced difficulties in criminal identification. However, the emergence of computer vision technology has opened up new possibilities for the development of automated systems aimed at this task. This article examines several computer vision-based criminal identification systems designed to identify criminals depicted in surveillance videos and images. These systems employ deep learning algorithms to extract facial features from the individuals in question, subsequently comparing them to an established criminal database in order to determine the suspect's identity.

Face detection, Face recognition, Open-CV, Image Processing.

"Enhancing Facial Recognition System for Criminal Identification Using OpenCV", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.n347-n351, May-2023, Available :http://www.jetir.org/papers/JETIR2305D53.pdf

"Enhancing Facial Recognition System for Criminal Identification Using OpenCV", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppn347-n351, May-2023, Available at : http://www.jetir.org/papers/JETIR2305D53.pdf