Iris and Periocular Recognition using Deep Learning
- 1st Edition - June 19, 2024
- Latest edition
- Author: Ajay Kumar
- Language: English
Iris and Periocular Recognition using Deep Learning systematically explains the fundamental and most advanced techniques for ocular imprint-based human identification, with many a… Read more
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- Unveils a collection of previously unpublished results and in-depth explanations of advanced ocular recognition algorithms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
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. Advances in Iris and Ocular Recognition: An Insight into Trends
2. Unlocking the Full Potential of Iris Recognition with Deep Learning
3. Real-Time Online Framework for Accurate Detection, Segmentation, and Recognition of Irises
4. Enhancing Iris Recognition Accuracy through Dilated Residual Features
5. Iris Recognition with Deep Learning Across Spectrums
6. Semantics-Assisted Convolutional Neural Network for Accurate Periocular Recognition
7. Deep Neural Network with Focused Attention on Critical Periocular Regions
8. Dynamic Iris Recognition through Multi-Feature Collaboration
9. Position-Specific Convolutional Neural Network to Accurately Match Iris and Periocular Images
10. Securing the Metaverse with Egocentric Iris Recognition via AR/VR/MR Devices
11. Inference and Future Pathways: Reflections and Exploration of New Horizons
2. Unlocking the Full Potential of Iris Recognition with Deep Learning
3. Real-Time Online Framework for Accurate Detection, Segmentation, and Recognition of Irises
4. Enhancing Iris Recognition Accuracy through Dilated Residual Features
5. Iris Recognition with Deep Learning Across Spectrums
6. Semantics-Assisted Convolutional Neural Network for Accurate Periocular Recognition
7. Deep Neural Network with Focused Attention on Critical Periocular Regions
8. Dynamic Iris Recognition through Multi-Feature Collaboration
9. Position-Specific Convolutional Neural Network to Accurately Match Iris and Periocular Images
10. Securing the Metaverse with Egocentric Iris Recognition via AR/VR/MR Devices
11. Inference and Future Pathways: Reflections and Exploration of New Horizons
- Edition: 1
- Latest edition
- Published: June 19, 2024
- Language: English
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Ajay Kumar
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.
Affiliations and expertise
Department of Computing, The Hong Kong Polytechnic University Hong Kong, Kowloon, Hong KongRead Iris and Periocular Recognition using Deep Learning on ScienceDirect