Fingerprint image scale estimation for forensic identification systems

• DOI: 10.15837/ijccc.2025.2.7031
• Publication Date: 2025-03-01T06:18:05Z
• Authors: Tim Oblak; Jovana Videnović; Haris Kupinić; Vitomir Štruc; Peter Peer; Žiga Emeršič
• Keywords: Identification; Forensic identification

The large majority of modern software solutions intended for fingermark processing in a forensic context is heavily dependant on the correct image scaling. Fingermark images captured with digital cameras at crime scene require use physical rulers or labels. While resolution can be calibrated manually by examiner lab, we propose an automated approach, which could integrated directly into existing identification systems and would eliminate need human intervention. Our approach consists CNN regressor, predicts PPI stochastically-sampled local patches based friction ridge information contained within. In range between 500 1500, our method achieves mean average error around 24 fingerprint images.