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An Accurate Iris Segmentation Framework Under Relaxed Imaging Constraints Using Total Variation Model
This paper proposes a novel and more accurate iris segmentation framework to automatically segment iris region from the face images acquired with relaxed imaging under visible or near-infrared illumination, which provides strong feasibility for applications in surveillance, forensics and the search for missing children, etc.
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