Iris and Periocular Recognition using Deep Learning

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Ajay Kumar (Department of Computing, The Hong Kong Polytechnic University Hong Kong, Kowloon, Hong Kong)

Iris and Periocular Recognition using Deep Learning

Ajay Kumar (Department of Computing, The Hong Kong Polytechnic University Hong Kong, Kowloon, Hong Kong)

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English

Academic Press Inc
19 June 2024

Computer architecture & logic design; Machine learning; Pattern recognition; Computer vision

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.

By: Ajay Kumar (Department of Computing The Hong Kong Polytechnic University Hong Kong Kowloon Hong Kong)
Imprint: Academic Press Inc
Country of Publication: United States
Dimensions: Height: 235mm, Width: 191mm,
Weight: 620g
ISBN: 9780443273186
ISBN 10: 0443273189
Pages: 308
Publication Date: 19 June 2024
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

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.