Paper Key : IRJ************374
Author: Divya Dixit,Aditya Raj
Date Published: 09 Apr 2024
Abstract
Identifying criminals based on eyewitness descriptions traditionally relied on hand-drawn sketches. However, in today's modern era, this method lacks efficiency and speed. Previous applications attempted to address this issue but were limited in features, platform-specific, and faced accessibility challenges due to outdated technologies. To overcome these obstacles, we propose a novel solution.Our project aims to provide a user-friendly platform for law enforcement agencies, enabling authenticated users to create face sketches directly from their browser without requiring specialized training or artistic skills. This platform offers high accessibility and cross-platform compatibility, eliminating the need for installation processes. Users can select from various facial features to construct a composite sketch or upload their own hand-drawn sketches for comparison with the criminal database.Utilizing a drag-and-drop interface, the application allows users to easily create sketches using a variety of facial elements. The generated sketches are then compared with the law enforcement database using the DeepFace facial recognition library for Python. Upon identifying a match, notifications are promptly dispatched to all police stations. Keywords: Face Sketch, Face Recognition, Criminal Identification, DeepFace.
DOI LINK : 10.56726/IRJMETS51997 https://www.doi.org/10.56726/IRJMETS51997