Accident Victim Identification through Fingerprint and Facial Recognition Management

G.PrassunaMCA student, Department of Computer Applications, Mohan Babu University, Tirupati, Andhra Pradesh, IndiaK. Arun KumarAssistant Professor, Department of Computer Applications, Mohan Babu University, Tirupati, Andhra Pradesh, India

Vol 9 No 25 (2025): Volume 9, Special Issue of INSPIRE’25 April 2025 | Pages: 389-394

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 24-04-2025

doi Logo doi.org/10.47001/IRJIET/2025.INSPIRE63

Abstract

Fingerprint-based authentication has a long history and has been successfully adopted in forensic and civilian applications. Advances in fingerprint capture technology have enabled large-scale applications. The system addresses the limitations of face recognition and fingerprint verification systems and operates in identification mode with an admissible response time, offering more reliable identification than face recognition. Identifying unidentified dead bodies from violence or accidents is crucial for police investigations. In the absence of identification cards, DNA and dental profiling are commonly used. Although face recognition is widely accepted, it becomes challenging in cases of facial injuries like swelling, bruises, blood clots, lacerations, and avulsion, which affect recognition features. Injuries to the face, head, limbs, and neck are common in road accidents, violence, and natural disasters, with the face being one of the most affected regions. According to the WHO, 1.25 million people die, and 50 million are injured in road accidents annually, with 50% to 70% of survivors suffering facial injuries, making identification difficult, especially for unconscious victims without identity proofs.

Keywords

Forensic Analysis, Identity Verification, Deep Learning Algorithms, Convolutional Neural Networks (CNN), Database Matching


Citation of this Article

G.Prassuna, & K. Arun Kumar. (2025). Accident Victim Identification through Fingerprint and Facial Recognition Management. In proceeding of International Conference on Sustainable Practices and Innovations in Research and Engineering (INSPIRE'25), published by IRJIET, Volume 9, Special Issue of INSPIRE’25, pp 389-394. Article DOI https://doi.org/10.47001/IRJIET/2025.INSPIRE63

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