. .

Disease Detection and Recognition in Fingerprint Images

Date: 2022-01-25 (12:30-13:30) Location: EAB Virtual Lunch Talk

Organizer: European Association for Biometrics (EAB)

Attendance is free of charge but registration is required.
Registered participants will receive dial-in credentials the morning of the event.

Speakers: Mona Heidari

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.

We thank our media partner:

Logo of Biometric Update


12:30 Mona Heidari

Disease Detection and Recognition in Fingerprint Images

EAB members may download additional files for this topic.
Brno University of Technology

End of Virtual Lunch Talk

Next Event

Info letter

Our partners

  • Asian Biometrics Consortium Logo
  • Logo of Biometric Update
  • Logo of Biometrie-online.net
  • BioSecure Logo
  • BITKOM Logo
  • Identity Day Logo
  • Springer Logo
  • TeleTrusT Logo