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Enhancement of Security in Iris Recognition System By Luster Detection: Exploring Security Issues in Iris Recognition System with Intelligent Solutions - Softcover

 
9786139989584: Enhancement of Security in Iris Recognition System By Luster Detection: Exploring Security Issues in Iris Recognition System with Intelligent Solutions

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Iris Recognition System is considered the most secure biometric identification among all. However, the existing system can be made fool by malignant users with evil intention. This book discusses and explains the possible security threats of the future Iris Recognition System as well as provides some intelligent solutions to prevent such attempts. Prof. Vijay Kumar Sinha researched years on Iris Recognition System for making it robust and spoof-proof from hackers and malignant users. This book will prove a helping hand for students of security, biometric researchers. Readers will find it easy to understand, interesting and self-descriptive. Prof. Sanjay Kumar Singh contributed as supervisor to make this book error free and valuable for researchers. Highlights: -- Luster detection of natural eyes by using shine artifact detection algorithm. --- Differentiation between a natural iris luster and a fake scanned or printed iris luster matrix for detection. ---- Significant enhancement in performance by putting luster detection module in the very first in the iris recognition process. This is an excellent research work on Iris Recognition System and a must-read for young researchers.

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Vijay Kumar Sinha|Sanjay Kumar Singh
ISBN 10: 6139989582 ISBN 13: 9786139989584
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sinha Vijay KumarProf. Vijay Kumar Sinha received his Ph.D. from IKGPTU, Kapurthala in Computer Science & Engineering. He received M.Tech. degree from Lovely Professional University in CSE and second M.Tech. degree in IT from Punjab. Bestandsnummer des Verkäufers 280828210

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Taschenbuch. Zustand: Neu. Neuware -Iris Recognition System is considered the most secure biometric identification among all. However, the existing system can be made fool by malignant users with evil intention. This book discusses and explains the possible security threats of the future Iris Recognition System as well as provides some intelligent solutions to prevent such attempts. Prof. Vijay Kumar Sinha researched years on Iris Recognition System for making it robust and spoof-proof from hackers and malignant users. This book will prove a helping hand for students of security, biometric researchers. Readers will find it easy to understand, interesting and self-descriptive. Prof. Sanjay Kumar Singh contributed as supervisor to make this book error free and valuable for researchers. Highlights: -- Luster detection of natural eyes by using shine artifact detection algorithm. --- Differentiation between a natural iris luster and a fake scanned or printed iris luster matrix for detection. ---- Significant enhancement in performance by putting luster detection module in the very first in the iris recognition process. This is an excellent research work on Iris Recognition System and a must-read for young researchers.Books on Demand GmbH, Überseering 33, 22297 Hamburg 96 pp. Englisch. Bestandsnummer des Verkäufers 9786139989584

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ISBN 10: 6139989582 ISBN 13: 9786139989584
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Iris Recognition System is considered the most secure biometric identification among all. However, the existing system can be made fool by malignant users with evil intention. This book discusses and explains the possible security threats of the future Iris Recognition System as well as provides some intelligent solutions to prevent such attempts. Prof. Vijay Kumar Sinha researched years on Iris Recognition System for making it robust and spoof-proof from hackers and malignant users. This book will prove a helping hand for students of security, biometric researchers. Readers will find it easy to understand, interesting and self-descriptive. Prof. Sanjay Kumar Singh contributed as supervisor to make this book error free and valuable for researchers. Highlights: -- Luster detection of natural eyes by using shine artifact detection algorithm. --- Differentiation between a natural iris luster and a fake scanned or printed iris luster matrix for detection. ---- Significant enhancement in performance by putting luster detection module in the very first in the iris recognition process. This is an excellent research work on Iris Recognition System and a must-read for young researchers. 96 pp. Englisch. Bestandsnummer des Verkäufers 9786139989584

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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Iris Recognition System is considered the most secure biometric identification among all. However, the existing system can be made fool by malignant users with evil intention. This book discusses and explains the possible security threats of the future Iris Recognition System as well as provides some intelligent solutions to prevent such attempts. Prof. Vijay Kumar Sinha researched years on Iris Recognition System for making it robust and spoof-proof from hackers and malignant users. This book will prove a helping hand for students of security, biometric researchers. Readers will find it easy to understand, interesting and self-descriptive. Prof. Sanjay Kumar Singh contributed as supervisor to make this book error free and valuable for researchers. Highlights: -- Luster detection of natural eyes by using shine artifact detection algorithm. --- Differentiation between a natural iris luster and a fake scanned or printed iris luster matrix for detection. ---- Significant enhancement in performance by putting luster detection module in the very first in the iris recognition process. This is an excellent research work on Iris Recognition System and a must-read for young researchers. Bestandsnummer des Verkäufers 9786139989584

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Sinha, Vijay Kumar/ Singh, Sanjay Kumar
ISBN 10: 6139989582 ISBN 13: 9786139989584
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Paperback. Zustand: Brand New. 96 pages. 8.66x5.91x0.22 inches. In Stock. Bestandsnummer des Verkäufers zk6139989582

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