Iris and Periocular Recognition using Deep Learning

de

Éditeur :

Academic Press


Paru le : 2024-06-12

eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈 ebook sans DRM
Lecture en ligne (streaming)
148,74

Téléchargement immédiat
Dès validation de votre commande
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

Description
This book 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 Unveils a collection of previously unpublished results and in-depth explanations of advanced ocular recognition algorithms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

Elsevier Science & Technology
Pages
350 pages
Collection
n.c
Parution
2024-06-12
Marque
Academic Press
EAN papier
9780443273186
EAN PDF
9780443273193

Informations sur l'ebook
Nombre pages copiables
35
Nombre pages imprimables
35
Taille du fichier
10158 Ko
Prix
148,74 €
EAN EPUB SANS DRM
9780443273193

Informations sur l'ebook
Prix
148,74 €

Suggestions personnalisées