Face Identification Method Using Scale Invariant Feature Transform Method for Criminal Management System

Abstract

Due to growing crime rates in India, big data for criminal records has increased more than ever. The increased database has resulted in slower detection and identification of pre-existing criminals for related crimes. In this new cyber world, India's security is more important than ever. Numerous organized criminal operations are anticipated, some of which might aim to undermine our law enforcement and defense organizations. Technology becomes of utmost importance in such a situation. Video analytics is one use of technology used in law enforcement, and video analytics contains many different parts. Finding patterns in different videos is one of the elements. The task here is to analyze a photograph of a particular person and see its resemblance with respect to the related criminal. Now, if the aforementioned technology is applied to thousands of movies compiled from hundreds of intelligence sources, with cross-checks across all recordings, highly important information on trends in any kind of organized crime can be discovered. This study has used scale invariant feature transform (SITF) to compare the features of images. Therefore, a system where the details of the criminal can be observed on a descriptive basis by facial recognition will be of great use for the investigation.