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            Handbook of Vascular Biometrics

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            Contributor(s)
            Uhl, Andreas (editor)
            Busch, Christoph (editor)
            Marcel, Sébastien (editor)
            Veldhuis, Raymond (editor)
            Language
            English
            Show full item record
            Abstract
            This open access handbook provides the first comprehensive overview of biometrics exploiting the shape of human blood vessels for biometric recognition, i.e. vascular biometrics, including finger vein recognition, hand/palm vein recognition, retina recognition, and sclera recognition. After an introductory chapter summarizing the state of the art in and availability of commercial systems and open datasets/open source software, individual chapters focus on specific aspects of one of the biometric modalities, including questions of usability, security, and privacy. The book features contributions from both academia and major industrial manufacturers.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/197525
            Keywords
            Computer science; Biometrics (Biology); Computer security; User interfaces (Computer systems); thema EDItEUR::U Computing and Information Technology::UR Computer security; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQP Pattern recognition; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYZ Human–computer interaction::UYZG User interface design and usability
            DOI
            10.1007/978-3-030-27731-4
            Publisher
            Springer Nature
            Publisher website
            http://www.springernature.com/oabooks
            Publication date and place
            Cham, 2020
            Series
            Advances in Computer Vision and Pattern Recognition,
            Pages
            533
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            Credits


            • logo Investir l'avenirInvestir l'avenir
            • logo MESRIMESRI
            • logo EUEuropean Union
              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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