20.500.12556/RUL-171522 Fingerprint image scale estimation for forensic identification systems 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. prstni odtis prstna sled merilo slike napoved ppi forenzika fingerprint fingermark image scale ppi prediction forensics true false true Angleški jezik Slovenski jezik Članek v reviji 2025-08-28 07:30:44 2025-08-28 07:30:45 2025-09-05 03:50:30 0000-00-00 00:00:00 2025 0 0 Str. 1-14 iss. 2, art. 7031 Vol. 20 Apr. 2025 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.93:57.087.1 1841-9836 10.15837/ijccc.2025.2.7031 227942403 RAZ_Oblak_Tim_2025.pdf RAZ_Oblak_Tim_2025.pdf 1 DB1084D5DBFBBC733FB4F0317F412033 079631278af1c2c3efcb8fad8edcdb245d547bb64baf61f57c3cbf10fa03bcb6 5f6e6ed0-83d0-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=214882 https://univagora.ro/jour/index.php/ijccc/article/view/7031 1 064bd98f-83d0-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=214881 Fakulteta za računalništvo in informatiko Fakulteta za elektrotehniko 0 0 0