Fingerprint image scale estimation for forensic identification systemsOblak, Tim (Avtor) Videnović, Jovana (Avtor) Kupinić, Haris (Avtor) Štruc, Vitomir (Avtor) Peer, Peter (Avtor) Emeršič, Žiga (Avtor) 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 a crime scene require the use of physical rulers or labels. While the resolution of a fingermark image can be calibrated manually by a forensic examiner in a lab, we propose an automated approach, which could be integrated directly into existing identification systems and would eliminate the need for human intervention. Our approach consists of a CNN regressor, which directly predicts the PPI of stochastically-sampled local patches based on the friction ridge information contained within. In a range of PPI between 500 and 1500, our method achieves a mean average error of around 24 PPI for fingerprint and fingermark images.20252025-08-28 07:30:44Članek v reviji171522UDK: 004.93:57.087.1ISSN pri članku: 1841-9836DOI: 10.15837/ijccc.2025.2.7031COBISS_ID: 227942403sl