Texture Analysis and Unsupervised Clustering for Segmenting Iris Images
نویسندگان
چکیده
Iris recognition is a relatively new and widely developing technology. The unique and distinct spatial patterns of the iris is used to create a digital signature for person identification. A common problem faced by systems is that of accurate segmentation of the region of interest (ROI). This paper discusses various texture analysis and pattern classification techniques for characterizing the ROI.
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تاریخ انتشار 2005