2010年6月17日 · IREX III was the first independent and public test of iris identification search technologies. It used millions of images to validate results published in the academic literature that iris is a very powerful biometric. The final report and a chronology of the test are given on the IREX III home page:

The IREX I results showed that iris image quality measures that produce overall scalar quality could predict performance of iris recognition algorithms. IQCE aims to evaluate the effectiveness of image quality assessment

2010年6月17日 · IREX II IQCE - Cryptographic Protection of Vendor Data Public Key for Encrypting SDK submissions to NIST. October 4, 2009: The NIST public key for encryption of all software send to NIST is as follows. Use of this key is required. NIST does not accept responsiblity for any unencrypted software sent to NIST.

Iris and face image sequences collected at varying distances and quality. Collected at Clarkson University. Funded by the Department of Homeland Security (DHS) Science and Technology (S&T) Directorate in cooperation with the National Science Foundation. To be used in IREX II. (Link to IREX II: http://iris.nist.gov/irexII/)

A novel iris liveness detection is presented to prevent spoofing attacks on such a system, and a number of design strategies are presented for constraint free, high performing iris biometrics on smartphones.

iris images was the focus of IREX II [4]. The evaluation measured the efficacy of several commercial a. d prototype quality assessment algorithms. It also supported the ISO/IEC 29794-6 [5] by advancing formal standards for iris sample quality, including a vector of quantitative metrics.

2009年9月1日 · A fascinating new report has been released by NIST in the USA which looks at the development of iris images that are both compact in size and interoperable. The IREX (Interoperable Iris Exchange) study – led by NIST staff scientist, Patrick Grother – includes a formal evaluation of iris recognition algorithms from the following providers: •

The IRis EXchange (IREX) program at the National Institute of Standards & Technology (NIST) employs best measurement practices to support the development, standardization, and interoperability of iris-based technology through ongoing evaluations of that technol-ogy; IREX evaluations provide information that helps advance the development of a mar-

2011年1月1日 · Tabassi, E. , Grother, P. and Salamon, W. (2011), IREX II - IQCE ::iris quality calibration and evaluation : performance of iris image quality assessment algorithms, , National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.IR.7820 (Accessed February 23, 2025)

The Iris Exchange IREX III evaluation was conducted to measure the accuracy and speed of iris identification algorithms. The test was designed to have operational relevance. First, by using as many as 6.1 million images of 4.3 million eyes,