Iris Image Quality Tool Suite for Biometric Recognition
Small Business Information
Progeny Systems Corporation
9500 Innovation Drive, Manassas, VA, 20110-2210
Name: Timothy Faltemier
Name: Josh Schmidt
AbstractIris recognition is an established and successful biometric technology. It is used in clearing travelers in the UK, for border control in the UAE, and as a part of Indias Unique ID program. However, there remain significant challenges to be addressed as iris recognition matures into a viable technology which can successfully handle applications at a national level. One such important issue that the iris biometric community continues to address is the assessment and determination of iris image quality prior to analysis and enrollment of an individual. Partnering with domain experts at the West Virginia University and professors from the University of Notre Dame, Progeny Systems proposes to advance the state of iris quality metrics by developing mathematical models and algorithmic procedures which operate both in the spatial and frequency domain of segmented iris images. These metrics will be complimented with a number of new iris quality metrics that will be outlined in this proposal. When combined, the two sets of metrics are expected to provide a means to measure each quality factor listed in IQCE report. We expect that solutions that we develop will become standard elements of new commercial iris biometric systems.
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