Iris and Periocular Recognition using Deep Learning

by Ajay Kumar

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. - 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into highly efficient and precise iris recognition using deep neural networks - Unveils a collection of previously unpublished results and in-depth explanations of advanced ocular recognition algorithms - Presents iris recognition algorithms specifically designed to bolster metaverse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

Product Details

ISBN-13:	9780443273193
Publisher:	Elsevier Science & Technology Books
Publication date:	06/12/2024
Sold by:	Barnes & Noble
Format:	eBook
Pages:	350
File size:	65 MB
Note:	This product may take a few minutes to download.

About the Author

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.

Table of Contents

1. Advances in Iris and Ocular Recognition: An Insight into Trends2. Unlocking the Full Potential of Iris Recognition with Deep Learning3. Real-Time Online Framework for Accurate Detection, Segmentation, and Recognition of Irises4. Enhancing Iris Recognition Accuracy through Dilated Residual Features5. Iris Recognition with Deep Learning Across Spectrums6. Semantics-Assisted Convolutional Neural Network for Accurate Periocular Recognition7. Deep Neural Network with Focused Attention on Critical Periocular Regions8. Dynamic Iris Recognition through Multi-Feature Collaboration9. Position-Specific Convolutional Neural Network to Accurately Match Iris and Periocular Images10. Securing the Metaverse with Egocentric Iris Recognition via AR/VR/MR Devices11. Inference and Future Pathways: Reflections and Exploration of New Horizons

What People are Saying About This

From the Publisher

Investigates advanced techniques for iris and ocular recognition