Items related to Iris and Periocular Recognition using Deep Learning

Iris and Periocular Recognition using Deep Learning - Softcover

Kumar

 
9780443273186: Iris and Periocular Recognition using Deep Learning
Softcover
ISBN 10: 0443273189 ISBN 13: 9780443273186
Publisher: Academic Press, 2024

Synopsis

Iris and Periocular Recognition using Deep Learning systematically explains the fundamental and most advanced techniques for ocular imprint-based human identification, with many applications in sectors such as healthcare, online education, e-business, metaverse, and entertainment. This is the first-ever book devoted to iris recognition that details cutting-edge techniques using deep neural networks. This book systematically introduces such algorithmic details with attractive illustrations, examples, experimental comparisons, and security analysis. It answers many fundamental questions about the most effective iris and periocular recognition techniques.

  • Provides insightful algorithmic details into highly efficient and precise iris recognition using deep neural networks
  • Unveils a collection of previously unpublished results and in-depth explanations of advanced ocular recognition algorithms
  • Presents iris recognition algorithms specifically designed to bolster metaverse security, featuring specialized techniques for iris detection, segmentation, and matching
  • Offers illustrative examples and comparative analysis, establishing reliability and confidence in deep learning-based methods over widely used conventional methods
  • Provides access to the original codes and databases

"synopsis" may belong to another edition of this title.

About the Author

Ajay Kumar is a Professor in the Department of Computing at The Hong Kong Polytechnic University, Hong Kong. Prior to this, he served as an Assistant Professor in the Department of Electrical Engineering at IIT Delhi from 2005 to 2007. Dr. Kumar serves on the Editorial Board of IEEE Transactions on Pattern Analysis and Machine Intelligence. He is a Fellow of IEEE and IAPR and has served the IEEE Biometrics Council as its President from 2021 to 2022. His research interests include biometrics with an emphasis on iris, hand, and knuckle biometrics.

From the Back Cover

Iris and Periocular Recognition using Deep Learning systematically explains the fundamental and most advanced techniques for ocular imprint-based human identification, with many applications in sectors such as healthcare, online education, e-business, metaverse, and entertainment. This is the first-ever book devoted to iris recognition that details cutting-edge techniques using deep neural networks. This book systematically introduces such algorithmic details with attractive illustrations, examples, experimental comparisons, and security analysis. It answers many fundamental questions about the most effective iris and periocular recognition techniques.

"About this title" may belong to another edition of this title.

Publisher
Academic Press
Publication date
2024
Language
English
ISBN 10 
0443273189
ISBN 13 
9780443273186
Binding
Paperback
Edition number
1
Number of pages
308