"Interpretable Deep Learning-Based Forensic Iris Segmentation and Recognition."

Andrey Kuehlkamp et al. (2022)

> Home

Details and statistics

DOI: 10.1109/WACVW54805.2022.00042

access: closed

type: Conference or Workshop Paper

metadata version: 2022-08-29

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/wacv/KuehlkampBCBFCB22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/wacv/KuehlkampBCBFCB22
Andrey Kuehlkamp, Aidan Boyd, Adam Czajka, Kevin W. Bowyer, Patrick J. Flynn, Dennis Chute, Eric Benjamin:
Interpretable Deep Learning-Based Forensic Iris Segmentation and Recognition. WACV (Workshops) 2022: 359-368

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.