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Iris and Periocular Recognition using Deep Learning
1st Edition - May 1, 2024
Author: Ajay Kumar
Paperback ISBN:
9 7 8 - 0 - 4 4 3 - 2 7 3 1 8 - 6
eBook ISBN:
9 7 8 - 0 - 4 4 3 - 2 7 3 1 9 - 3
Iris and Periocular Recognition using Deep Learning investigates advanced techniques for iris and ocular recognition. This is the first book devoted to iris recognition that… Read more
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Iris and Periocular Recognition using Deep Learning investigates advanced techniques for iris and ocular recognition. This is the first book devoted to iris recognition that details cutting-edge techniques using deep learning. This book systematically introduces such algorithmic details with attractive illustrations, examples, experimental comparisons, and security analysis. It will answer many of the fundamental questions for the most effective iris and ocular recognition techniques, which will be one of the key strengths of this book.
- Presents insightful algorithmic details on state-of-art algorithms for iris recognition using deep learning
- Includes a range of unpublished, but advanced algorithms
- Presents iris recognition algorithms for high security in the metaverse, including specialized methods for iris segmentation and matching
- Offers examples and comparative analysis with conventional methods to generate reliability and confidence with the deep learning based methods
Researchers, graduate students, and professional developers in Biometrics, Artificial Intelligence, Data Security Professionals in law enforcement departments, defense and related industrial sectors; system developers and Integrators for various information security related solutions
1. Introduction to Current Trends in Iris and Periocular Recognition
2. Iris Recognition using Deep Learning
3. Online Framework to Detect and Recognize Irises
4. Multiscale and Multitasking Networks for Iris Recognition
5. Dynamic Iris Recognition using Deeply Learned Periocular Features
6. Cross-Spectral Iris Recognition using Deep Learning
7. Accurate and Robust Periocular Recognition using Semantics-Assisted Features
8. Deep and Dynamic Attention Networks for Robust Periocular Recognition
9. Egocentric Iris Recognition using AR/VR/MR Devices for Metaverse Security
10. Summary and Best Practices
2. Iris Recognition using Deep Learning
3. Online Framework to Detect and Recognize Irises
4. Multiscale and Multitasking Networks for Iris Recognition
5. Dynamic Iris Recognition using Deeply Learned Periocular Features
6. Cross-Spectral Iris Recognition using Deep Learning
7. Accurate and Robust Periocular Recognition using Semantics-Assisted Features
8. Deep and Dynamic Attention Networks for Robust Periocular Recognition
9. Egocentric Iris Recognition using AR/VR/MR Devices for Metaverse Security
10. Summary and Best Practices
- No. of pages: 350
- Language: English
- Published: May 1, 2024
- Imprint: Academic Press
- Paperback ISBN: 9780443273186
- eBook ISBN: 9780443273193
AK
Ajay Kumar
Ajay Kumar received the Ph.D. degree from the University of Hong Kong, Hong Kong, in 2001. He was an Assistant Professor with the Department of Electrical Engineering, IIT Delhi, Delhi, India, from 2005 to 2007. He is currently working as professor with the Department of Computing, the Hong Kong Polytechnic University. His current research interests include biometrics with an emphasis on hand biometrics, vascular biometrics, iris, and knuckle biometrics. He holds seven U.S. patents and has authored a book on ‘Contactless 3D Fingerprint Identification’ (Springer). He has served as the President of IEEE Biometrics Council (2021-2022) and as its Vice President for Publications (2011-2015). He serves on the Editorial Board of IEEE Transactions on Pattern Analysis and Machine Intelligence (since 2019) and was on the Editorial Board of the IEEE Transactions on Information Forensics and Security (2010-2013). He has served as area chair, program chair and general chair of several international conferences and workshops in the field of his research interest. He is a Fellow of IEEE and IAPR.
Affiliations and expertise
Department of Computing, The Hong Kong Polytechnic University Hong Kong, Kowloon, Hong Kong