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Titlebook: Iris Biometrics; From Segmentation to Christian Rathgeb,Andreas Uhl,Peter Wild Book 2013 Springer Science+Business Media, LLC 2013 Biometri

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发表于 2025-3-21 17:55:46 | 显示全部楼层 |阅读模式
书目名称Iris Biometrics
副标题From Segmentation to
编辑Christian Rathgeb,Andreas Uhl,Peter Wild
视频video
概述Provides detailed analysis and discussions regarding issues and challenges which are rarely investigated within common literature, e.g. watermarking, image segmentation, compression and template prote
丛书名称Advances in Information Security
图书封面Titlebook: Iris Biometrics; From Segmentation to Christian Rathgeb,Andreas Uhl,Peter Wild Book 2013 Springer Science+Business Media, LLC 2013 Biometri
描述.Iris Biometrics: From Segmentation to Template Security. provides critical analysis, challenges and solutions on recent iris biometric research topics, including image segmentation, image compression, watermarking, advanced comparators, template protection and more. Open source software is also provided on a dedicated website which includes feature extraction, segmentation and matching schemes applied in this book to foster scientific exchange. Current state-of-the-art approaches accompanied by comprehensive experimental evaluations are presented as well. This book has been designed as a secondary text book or reference for researchers and advanced-level students in computer science and electrical engineering. Professionals working in this related field will also find this book useful as a reference.
出版日期Book 2013
关键词Biometrics; Iris Biometric Security; Iris Image Compression; Iris Image Segmentation; Iris Recognition
版次1
doihttps://doi.org/10.1007/978-1-4614-5571-4
isbn_softcover978-1-4899-8619-1
isbn_ebook978-1-4614-5571-4Series ISSN 1568-2633 Series E-ISSN 2512-2193
issn_series 1568-2633
copyrightSpringer Science+Business Media, LLC 2013
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1568-2633 ce and electrical engineering. Professionals working in this related field will also find this book useful as a reference.978-1-4899-8619-1978-1-4614-5571-4Series ISSN 1568-2633 Series E-ISSN 2512-2193
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Advanced Comparison Techniques for Challenging Iris Imagesnd consequently iris images are tolerated. However, the polar unwrapping with its simplifying assumptions may cause irrevocable mapping distortions even in case of generalizing from circular or elliptic shapes to AC-based approaches. In this case it is desirable to employ more sophisticated comparis
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Image Compression Impact on Iris Recognition, rather than in extracted templates (e.g., iris-codes). On the one hand, such deployments benefit from future improvements (e.g., in feature extraction stage) which can be easily incorporated (except sensor improvements), without reenrollment of registered users. On the other hand, since biometric
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Advanced Comparison Techniques for Challenging Iris Imagesorm model presents a rather simplified anatomical model of pupillary dilation. Therefore, it is likely that two normalized iris images are not perfectly aligned. The majority of feature extraction approaches extracts binary output (iris-codes) from the obtained normalized textures [>44], and employs
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