NDLI: Exploring the upper bound performance limit of iris biometrics using score calibration and fusion

Content Provider	IEEE Xplore Digital Library
Author	Gorodnichy, D.O. Dubrofsky, E. Hoshino, R. Khreich, W. Granger, E. Sabourin, R.
Copyright Year	2011
Description	Author affiliation: Science and Engineering Directorate, Canada Border Services Agency, 14 Colonnade Road, Ottawa, Ontario, Canada, K2E 7M6 (Gorodnichy, D.O.; Dubrofsky, E.) \|\| Laboratoire d'imagerie, de vision et d'intelligence artificielle, École de technologie supérieure, Univérsite de Québec, Montreal, Canada (Khreich, W.; Granger, E.; Sabourin, R.) \|\| National Institute of Informatics 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430, Japan (Hoshino, R.)
Abstract	Researchers now acknowledge that the ultimate goal for biometric technologies to be error-free may never be achieved for any biometric modality. The key interest therefore for any biometric modality is to know its current performance limits. For the iris modality, which is intensively used for trusted traveller programs in many countries, the question of the iris recognition limitations is of particular importance, as it affects security risk mitigation strategies employed by the programs. In this paper, we provide the answer to this question, based on the recent large-scale evaluations of state-of-the-art iris biometrics systems conducted by the National Institute of Standards and Technology (NIST) and the Canada Border Services Agency (CBSA) and two performance-improving post-processing methods developed by the CBSA and its academic partners: one based on score recalibration and the other based on fusion of decisions from multiple systems. Particular emphasis of the paper is on the description of datasets used in iris evaluations and the presentation of the new large-scale iris dataset created for the purpose at the CBSA. The importance of proper evaluation metrics and methodologies used in iris evaluations, including the subject-based analysis, is discussed.
Starting Page	54
Ending Page	61
File Size	274532
Page Count	8
File Format	PDF
ISBN	9781424498994
e-ISBN	9781424499007
DOI	10.1109/CIBIM.2011.5949213
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-11
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Magnetic resonance NIST Ice Calibration Iris recognition Testing
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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