Iris and Periocular Recognition using Deep Learning

Author:   Ajay Kumar (Department of Computing, The Hong Kong Polytechnic University Hong Kong, Kowloon, Hong Kong)
Publisher:   Elsevier Science Publishing Co Inc
ISBN:  

9780443273186


Pages:   308
Publication Date:   19 June 2024
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Iris and Periocular Recognition using Deep Learning


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Overview

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.

Full Product Details

Author:   Ajay Kumar (Department of Computing, The Hong Kong Polytechnic University Hong Kong, Kowloon, Hong Kong)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Weight:   0.620kg
ISBN:  

9780443273186


ISBN 10:   0443273189
Pages:   308
Publication Date:   19 June 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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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.

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