ACKNOWLEDGMENTSThe authors would like to thank the Department of Homeland Security's U. S. VISIT Office for supporting this work. In addition, the authors are grateful to the Department of Homeland Security's Science and Technology Directorate for supporting the ongoing standardization aspects of this activity. We extend our thanks to the U.S. Department of Defense and the University of Bath for providing iris imagery to the project.Finally, thanks go IREX participants for their contributions toward the ISO/IEC 19794-6 standard and the development of the IREX test specification 1 . DISCLAIMER Specific hardware and software products identified in this report were used in order to perform the evaluations described in this document. In no case does identification of any commercial product, trade name, or vendor, imply recommendation or endorsement by the National Institute of Standards and Technology, nor does it imply that the products and equipment identified are necessarily the best available for the purpose. 1 The formal CONOPS and API specification is available at http://iris.nist.gov/irex/irex api.pdf.The Iris Exchange (IREX) was initiated by NIST in late 2007 to support interoperable exchange of iris imagery in high performance biometric applications. The first activity in the program, the IREX I evaluation, was conducted in cooperation with the iris recognition industry to develop and test standard image formats, and to demonstrate that iris recognition algorithms can maintain their accuracy and interoperability with compact images. Standard formats are needed in federated applications in which iris data is exchanged between interoperating systems. Compact size is a current and vital requirement for applications in which imagery is passed across bandwidth-limited networks, or stored on identity credentials. IREX I was initiated to give quantitative support to the revision of the ISO/IEC 19794-6 and ANSI/NIST TYPE 17 standards, and to form a multi-provider marketplace around those standards. As the largest independently administered test of iris recognition technology to date, IREX I includes a formal evaluation of the state-of-the-art of iris recognition algorithms from the following providers:Recognition algorithms from these organizations were evaluated in a three stage process. First, algorithms were applied to convert raw images from contemporary iris cameras to the standardized iris images (i.e. IREX records) depicted here: Cropped image Cropped and masked image KIND 3 KIND 7 Parent image from camera Unsegmented polar Reconstructed rectilinear KIND 1 KIND 7 KIND 48 KIND 16Preparation of these records requires various detection, localization, cropping, sampling and masking operations. These operations are non-trivial. They precede the second stage of processing in which features are extracted from standard images to form a template. The IREX records are not iris templates; instead they are specialized interoperable images designed for efficient storage. Templates contain proprietary "black box" feature ...