Skip to main content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.


The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Iris Quality Calibration and Evaluation (IQCE): Evaluation Report



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


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.
NIST Interagency/Internal Report (NISTIR) - 7820
Report Number


biometrics, biometric quality, iris, recognition error
Created September 24, 2011, Updated November 10, 2018