IRIS PERIOCULAR RECOG DEEP LEARN. Questo articolo non è disponibile.
Lingua: inglese
Editore: Academic Press, 2024
- Brossura
- Nuovo

Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
Venditore con 5 stelle
Venditore AbeBooks dal 11 ottobre 2022
Non disponibile
Brossura
Condizione: Nuovo
EUR 125,73
Descrizione dell’articolo da parte del venditore
Questo è un articolo print on demand.
Codice articolo EJDNYLJERC
- Titolo
- IRIS PERIOCULAR RECOG DEEP LEARN
- Autore
- Kumar, Ajay
- Editore
- Academic Press
- Anno di pubblicazione
- 2024
- Condizione
- new
- Rilegatura
- Brossura
- Lingua
- inglese
- ISBN 10
- 0443273189
- ISBN 13
- 9780443273186
- Peso dell'articolo
- 0,75 chilogrammi
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.
"Riassunto" può appartenere a un’altra edizione di questo titolo.
Informazioni sull’autore
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.
"Descrizione articolo" può appartenere a un’altra edizione di questo titolo.