Face recognition system for criminal identification using deep metric learning

Sowmeya, V. and Karthik, R. Jaya (2022) Face recognition system for criminal identification using deep metric learning. In: RECENT TRENDS IN SCIENCE AND ENGINEERING, 27–28 February 2021, Krishnagiri, India.

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Abstract

Face recognition and detection are unimaginable inventions in today’s world when it comes to experiencing every crime. Protection, surveillance, entertainment sites, and criminal identification are just a few of the amazing applications. This device is particularly useful for customer screening in banks, airports, and other businesses. CNN needs more data for deep learning because it is still a facial recognition system, which is particularly problematic in the case of applications such as criminal investigations (murder, robbery, etc.). As a result, this project incorporates a face- recognition system that makes it easier and more reliable to scan for offenders, thus assisting police officers effectively and organization. In this paper, we implement the Deep Metric Learning to construct the face embedding for recognition process usingdib face recognition library.

Item Type: Conference or Workshop Item (Paper)
Subjects: Computer Science Engineering > Deep Learning
Divisions: Computer Science Engineering
Depositing User: Mr IR Admin
Date Deposited: 13 Sep 2024 10:34
Last Modified: 13 Sep 2024 10:34
URI: https://ir.vistas.ac.in/id/eprint/5922

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