Muutke küpsiste eelistusi

Iris and Periocular Recognition using Deep Learning [Pehme köide]

(Department of Computing, The Hong Kong Polytechnic University Hong Kong, Kowloon, Hong Kong)
  • Formaat: Paperback / softback, 308 pages, kõrgus x laius: 235x191 mm, kaal: 620 g
  • Ilmumisaeg: 19-Jun-2024
  • Kirjastus: Academic Press Inc
  • ISBN-10: 0443273189
  • ISBN-13: 9780443273186
Teised raamatud teemal:
Iris and Periocular Recognition using Deep LearningSuurem pilt
  • Formaat: Paperback / softback, 308 pages, kõrgus x laius: 235x191 mm, kaal: 620 g
  • Ilmumisaeg: 19-Jun-2024
  • Kirjastus: Academic Press Inc
  • ISBN-10: 0443273189
  • ISBN-13: 9780443273186
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9780443273186.html
Märksõnad:
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.

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

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.