Cross-Sensor Micro-Texture Material Classification and Smartphone Acquisition do not go well together

• Published in: 2023 11th International Workshop on Biometrics and Forensics (IWBF) pp. 1 - 6
• Main Authors: Schuiki, Johannes, Kauba, Christof, Hofbauer, Heinz, Uhl, Andreas
• Format: Conference Proceeding
• Language: English
• Published: IEEE 19-04-2023
• Subjects: Authentication; cross sensor; Drugs; Forensics; Implants; Limiting; material classification; micro texture; Packaging; product authentication; Production; smartphone imaging; texture classification
• DOI: 10.1109/IWBF57495.2023.10157739

Intrinsic, non-invasive product authentication is still an important topic as it does not generate additional costs during the production process. This topic is of specific interest for medical products as non-genuine products can directly effect the patients' health. This work investigates micro-texture classification as a mean of proving the authenticity of zircon oxide blocks (for dental implants). Samples of three different manufacturers were acquired using four smartphone devices with a clip-on macro lens. In addition, an existing drug packaging material database was utilized. While the intra-sensor microtexture classification worked well, the cross-sensor classification results were less promising. In an attempt to track down the limiting factors, intrinsic sensor features usually used in device identification were investigated as well.