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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Destinos, gastos y plazos de envíoLibrería: moluna, Greven, Alemania
Condición: 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. Nº de ref. del artículo: 280828210
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9786139989584
Cantidad disponible: 2 disponibles
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9786139989584
Cantidad disponible: 1 disponibles
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9786139989584
Cantidad disponible: 2 disponibles
Librería: Revaluation Books, Exeter, Reino Unido
Paperback. Condición: Brand New. 96 pages. 8.66x5.91x0.22 inches. In Stock. Nº de ref. del artículo: zk6139989582
Cantidad disponible: 1 disponibles