Affiliation:
1. Anjuman College of Engineering and Technology, Nagpur, Maharashtra, India
Abstract
In modern society, the overall crime rate is increasing day by day, and in order to overcome this, law enforcement department must also find ways to speed up the entire process and help bring justice. One such method is to use facial recognition technology to identify the criminal. The traditional approach here is to use a hand-drawn sketch of a face, drawn by forensic artist to identify the criminal. Upgrading it will allow us to identify the criminals using hand-drawn sketches and then matching it with law enforcement databases. This approach is time consuming as there are few forensic artists available compared to the increasing crime ratio which is subject to various limitations with the latest technology and increasing crime rates. Our project provides law enforcement department a standalone platform that allows users to create composite sketches of a suspect's face using the drag-and-drop feature without the aid of forensics, thereby reducing time gaps and speeding up the process. The application automatically matches complex face sketches with police database.