Fr. 71.00

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

English · Paperback / Softback

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Description

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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.

About the author










El profesor Vijay Kumar Sinha se doctoró en Ciencias e Ingeniería Informática en la IKGPTU de Kapurthala. Obtuvo un máster de la Universidad Profesional de Lovely en CSE y un segundo máster en TI de la Universidad de Punjabi, Patiala (India). Está trabajando como profesor en el Chandigarh Engineering College, Landran, Mohali (Punjab) India.

Product details

Authors Sanjay Kumar Singh, Vijay Kuma Sinha, Vijay Kumar Sinha
Publisher LAP Lambert Academic Publishing
 
Languages English
Product format Paperback / Softback
Released 01.01.2019
 
EAN 9786139989584
ISBN 9786139989584
No. of pages 96
Subjects Guides
Natural sciences, medicine, IT, technology > IT, data processing

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