Disease Detection and Recognition in Fingerprint Images

The presentation focuses on the concept of algorithms which seeks to remove the influences of skin diseases in fingerprint recognition processes.

Curriculum vitæ

Mona Heidari of Brno University of Technology, conducted Ph.D. research concerning the analysis of diseases and other influences affecting fingerprints. Generating a large volume dataset of a synthetic diseased fingerprint and trying both classical and machine learning/deep learning approaches to detect and recognise diseases in a fingerprint image.