Applied Machine Learning: Concepts, Algorithms, and Real-World Applications
Articles

Privacy-Preserving Framework for Facial Reusage Recognition with Fingerprinting and Digital Image Protection in Law Enforcement

PDF
  • Priti Das,
  • Indranil Paul,
  • Ananya Roy,
  • Subha Karmakar,
  • Rohitashwa Pal Das,
  • Somsubhra Gupta
Priti Das
Department of Computer Science and Engineering, Swami Vivekananda University
Indranil Paul
Department of Computer Science and Engineering, Swami Vivekananda University
Ananya Roy
Department of Computer Science and Engineering, Swami Vivekananda University
Subha Karmakar
Department of Computer Science and Engineering, Swami Vivekananda University
Rohitashwa Pal Das
Department of Computer Science and Engineering, Swami Vivekananda University
Somsubhra Gupta
Department of Computer Science and Engineering, Swami Vivekananda University

Published 2026-07-06

Keywords

  • Digital Object Source Identifier,
  • Image Fingerprinting,
  • Derivative Content Detection,
  • AI-powered Facial Recognition

How to Cite

Das, Priti, et al. “Privacy-Preserving Framework for Facial Reusage Recognition With Fingerprinting and Digital Image Protection in Law Enforcement”. Swami Vivekananda University Press, July 2026, pp. 87-103, https://swamivivekanandauniversitypress.com/index.php/svup/article/view/657.

Copyright (c) 2026 Swami Vivekananda University Press

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Abstract

This paper presents a framework that safeguards privacy while recognizing reused facial images, incorporating finger printing, and protecting digital images for law enforcement purposes.

The broad consumption of social media has contributed to the issues of protecting user privacy, notably illicit face picture reuse and data leakage. This study presents a revolutionary Digital Object Source Identifier (DOSI) system designed to identify the source of digital data breaches and provide strong security against unlawful replication and dissemination of visual material. DOSI uses cutting-edge approaches to secure traceability and ownership integrity for digital files, drawing analogies with copyright-claiming systems and advanced multimedia recognition technologies such as song identification by humming or tune analysis.

DOI - https://doi.org/10.65525/SVUP.9788199963351.2026.87-103

PDF