- 350 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Iris and Periocular Recognition using Deep Learning
About this book
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- Unveils a collection of previously unpublished results and in-depth explanations of advanced ocular recognition algorithms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
Information
Table of contents
- Cover image
- Title page
- Table of Contents
- Copyright
- Preface
- 1. An insight into trends on advances in iris and periocular recognition
- 2. Unlocking the full potential of Iris recognition with deep learning
- 3. A unified framework for accurate detection, segmentation, and recognition of irises
- 4. Enhancing iris recognition accuracy through dilated residual features
- Chapter 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 multifeature collaboration
- 9. Position-specific convolutional neural network to accurately match iris and periocular images
- 10. Biometrics security in the metaverse using egocentric iris recognition
- 11. Inference and future pathways: reflections and exploration of new horizons
- Bibliography
- Index
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Yes, you can access Iris and Periocular Recognition using Deep Learning by Ajay Kumar in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over 1.5 million books available in our catalogue for you to explore.