Accident Victim Identification through Fingerprint and Facial Recognition Management

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.

Country : India

1 G.Prassuna2 K. Arun Kumar

  1. MCA student, Department of Computer Applications, Mohan Babu University, Tirupati, Andhra Pradesh, India
  2. Assistant Professor, Department of Computer Applications, Mohan Babu University, Tirupati, Andhra Pradesh, India

IRJIET, Volume 9, Special Issue of INSPIRE’25 April 2025 pp. 389-394

doi.org/10.47001/IRJIET/2025.INSPIRE63

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