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PUBLICATIONS

Iris Quality Calibration and Evaluation (IQCE): Evaluation Report

Published

Author(s)

Elham Tabassi, Patrick J. Grother, Wayne J. Salamon

Abstract

Iris is rapidly gaining acceptance and support as a viable biometric. Several large scale identity management applications are either using or considering iris as their secondary or primary biometric for verification. While there are several academic publications addressing the problem of iris image quality, NIST Iris Quality Calibration and Evaluation (IQCE) is the first public challenge in iris image quality aimed at identifying iris image quality components that are algorithm- or camera-agnostic. IQCE evaluated 14 iris image quality assessment algorithms in their effectiveness in predicting the performance of iris recognition algorithms, their computational efficiency and their robustness. Interestingly, the implementations which are the best predictor of recognition performance are also the fastset (i.e., the shortest computation time) and with zero failure to computation, are the most robust. To quantitatively support the development of the international iris image quality standard (ISO/IEC 29794-6), IQCE also examined the effect of 14 iris image covariates on performance. This evaluation supports homeland security, counter-terrorism, and border control applications by enhancing reliability and accuracy of iris recognition, and significantly improves requirement planning and system design.
Citation
NIST Interagency/Internal Report (NISTIR) - 7820
Report Number
7820
NIST Pub Series
NIST Interagency/Internal Report (NISTIR)
Pub Type
NIST Pubs

Download Paper

https://doi.org/10.6028/NIST.IR.7820

Keywords

biometrics, biometric quality, iris, recognition error
Biometrics and Data and informatics

Citation

Tabassi, E. , Grother, P. and Salamon, W. (2011), Iris Quality Calibration and Evaluation (IQCE): Evaluation Report, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.IR.7820 (Accessed April 23, 2025)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created September 24, 2011, Updated November 10, 2018