Isbn: 9783330040199 - finger vein identification and authentication system (6 risultati)

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    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing, 2017

      333004019X / 9783330040199

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      Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books

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      Paperback. Condizione: Brand New. 116 pages. 8.66x5.91x0.27 inches. In Stock.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing, 2017

      333004019X / 9783330040199

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      Da: preigu, Osnabrück, Germaniapreigu

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      Taschenbuch. Condizione: Neu. Finger Vein Identification and Authentication System | Ruaa Isam Fadhil (u. a.) | Taschenbuch | 116 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330040199 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing Jan 2017, 2017

      333004019X / 9783330040199

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      Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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      Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -As a new biometric technique, finger recognition has attracted lots of attentions and use in wide range of applications. Finger vein recognition is a physiological characteristics-based biometric technique, it uses vein patterns of human finger to perform identity authentication. Even in the case of identical twins the finger-vein patterns are unique. This makes finger vein detection a secure biometric for individual identification. Finger vein recognition systems acquire images by utilizing near infrared (NIR) illumination conjunction with a camera. However, systems alike may face a series of operational frustrations, since light scattering from the skin can make capturing clear image process a difficult task. The deal with low quality finger vein image represents the major concern of this work, beside selection of proper features to distinguish between individuals. 116 pp. Englisch.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing, 2017

      333004019X / 9783330040199

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      Da: moluna, Greven, Germaniamoluna

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      Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Isam Fadhil RuaaRuaa Isam Fadhil: Born in 1987, both B.Sc.(2013), and M.Sc.(2016) Degrees in Computer Science were obtained from University of Baghdad (Iraq). Research interests: Image Processing, Personal Identification and Authenti.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing Jan 2017, 2017

      333004019X / 9783330040199

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      Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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      Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -As a new biometric technique, finger recognition has attracted lots of attentions and use in wide range of applications. Finger vein recognition is a physiological characteristics-based biometric technique, it uses vein patterns of human finger to perform identity authentication. Even in the case of identical twins the finger-vein patterns are unique. This makes finger vein detection a secure biometric for individual identification. Finger vein recognition systems acquire images by utilizing near infrared (NIR) illumination conjunction with a camera. However, systems alike may face a series of operational frustrations, since light scattering from the skin can make capturing clear image process a difficult task. The deal with low quality finger vein image represents the major concern of this work, beside selection of proper features to distinguish between individuals.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 116 pp. Englisch.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing, 2017

      333004019X / 9783330040199

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      Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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      Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As a new biometric technique, finger recognition has attracted lots of attentions and use in wide range of applications. Finger vein recognition is a physiological characteristics-based biometric technique, it uses vein patterns of human finger to perform identity authentication. Even in the case of identical twins the finger-vein patterns are unique. This makes finger vein detection a secure biometric for individual identification. Finger vein recognition systems acquire images by utilizing near infrared (NIR) illumination conjunction with a camera. However, systems alike may face a series of operational frustrations, since light scattering from the skin can make capturing clear image process a difficult task. The deal with low quality finger vein image represents the major concern of this work, beside selection of proper features to distinguish between individuals.