Iris Quality in an Operational Context
نویسندگان
چکیده
The accuracy of an iris biometrics system increases with the quality of the sample used for identification. All current iris biometrics systems capture data streams that must be processed to identify a single, ideal image to be used for identification. Many metrics exist to evaluate the quality of an iris image. This paper introduces a method for determining the ideal iris image from a set of iris images by using an iris-matching algorithm in a feedback loop to examine the set of true matches. This proposed method is shown to outperform other methods currently used for selecting an ideal image from a set of iris images.
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