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Titlebook: Handbook of Iris Recognition; Kevin W. Bowyer,Mark J. Burge Book 2016Latest edition Springer-Verlag London 2016 Biometrics.Computer Vision

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Application of Correlation Filters for Iris Recognition,ift-invariance and graceful degradation and have proven worthy of consideration in other pattern recognition applications such as automatic target recognition. In this chapter, we will discuss the basics of CF design and show how CFs can be used for iris segmentation and matching.
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Design Decisions for an Iris Recognition SDK, rapid prototyping as well as integration in existing frameworks achieving enhanced usability and extensibility. In order to underline the competitiveness of the presented iris recognition software, experimental evaluations of segmentation and feature extraction algorithms are carried out on a publi
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2191-6586 images; includes new content on liveness detection, correcting off-angle iris images, subjects with eye conditions, and implementing software systems for iris recognition..978-1-4471-7389-2978-1-4471-6784-6Series ISSN 2191-6586 Series E-ISSN 2191-6594
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Optics of Iris Imaging Systems,to existing enrollment images. From whatever distance they are taken, the iris images must therefore resolve information from the iris sufficient for the task of recognition. This chapter reviews concepts of optics and photography needed to specify requirements on the image acquisition components of
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