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.
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Ruaa 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 Authentication, Data Security.
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Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783330040199
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Zustand: 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. Bestandsnummer des Verkäufers 158247152
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783330040199
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783330040199
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