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A less intrusive iris capturing system usually requires a long stand-off distance, large capture volume, and no restriction of a static subject. These factors make iris recognition more challenging than that from today's close-range iris systems. In this paper we propose a novel algorithm toward robust iris recognition in less intrusive environments. Our algorithm consists of two parts: 1) a novel...
We present a new iris segmentation algorithm based on the Generalized Structure Tensor (GST), which also includes an eyelid detection step. It is compared with traditional segmentation systems based on Hough transform and integro-differential operators. Results are given using the CASIA-IrisV3-Interval database. Segmentation performance under different degrees of image defocus and motion blur is also...
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