Information theory and the iriscode
- Submitting institution
-
University of Cambridge
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1901
- Type
- D - Journal article
- DOI
-
10.1109/TIFS.2015.2500196
- Title of journal
- IEEE Transactions on Information Forensics and Security
- Article number
- 2
- First page
- 400
- Volume
- 11
- Issue
- 2
- ISSN
- 1556-6013
- Open access status
- Out of scope for open access requirements
- Month of publication
- February
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
0
- Research group(s)
-
-
- Citation count
- 50
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Showing how the tools of Information Theory explain the legendary resistance to False Matches (collision avoidance) for iris recognition, this work was mentioned at the 2016 presentation to Daugman of the Senior Investigator Award of the International Association for Pattern Recognition. The full citation read: "For the invention of automatic iris recognition, its analysis, explication, and further development, its efficient implementation, its standardisation, and its promulgation worldwide to about a billion users."
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -