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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM43842

Law Enforcement Facial Recognition System for Crime

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM43842

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem43842

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

RJA

Rathi Jasna A

DTCS

Dr. T. C. Subbulakshmi

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Abstract

Facial recognition technology is used by police enforcement to identify offenders and find missing people. This paper describes a law enforcement facial recognition system that detects and recognizes faces using the Local Binary Pattern Histogram (LBPH) and the Haar Cascade Classifier. The system’s simple Tkinter-based graphical user interface (GUI) enables authorized workers to register photographs of offenders and missing people, analyse images, and process films for facial recognition. To offer best data handling and storage, the system is built with Python (Tkinter), PHP, MySQL (phpMyAdmin), and OpenCV. The results aid in correct identification by projecting the confidence level for facial matches. Future developments will incorporate real-time video processing and deep learning approaches to improve accuracy.

KEYWORDS

Facial Recognition Law Enforcement Criminal Identification Missing Person Detection Local Binary Pattern Histogram (LBPH) Haar Cascade Classifier Image Processing Video Analysis Tkinter GUI OpenCV Machine Learning Face Detection Database Management Security and Surveillance Pattern Recognition

Cite This Article

Rathi Jasna A, Dr. T. C. Subbulakshmi, "Law Enforcement Facial Recognition System for Crime," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025. https://doi.org/10.55041/ijsrem43842

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Publication Date

4/6/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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