Multilingual Text Recognition

A Deep Learning Approach

,

Éditeur :

Springer

Paru le : 2026-01-01

Multilingual text recognition is crucial for cross language information acquisition and related applications in the mobile computing era. The core problem is to find efficient representation and decoding methods for multilingual text recognition, including scene text recognition or handwriting recog...
Voir tout
Ce livre est accessible aux handicaps Voir les informations d'accessibilité
Ebook téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Compatible lecture en ligne (streaming)
52,74
Ajouter à ma liste d'envies
Téléchargement immédiat
Dès validation de votre commande
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

À propos


Éditeur

Collection
n.c

Parution
2026-01-01

Pages
115 pages

EAN papier
9789819678976

Auteur(s) du livre


Liangrui Peng is currently an associate professor at the Department of Electronic Engineering, Tsinghua University, Beijing, China. She received her Ph.D. degree in Information and Communication Engineering from Tsinghua University in 2010. Her research interests include multilingual text recognition and understanding, computer vision and machine learning. She has received the National Awards for Science and Technology Progress (Second Class) in China three times. Her recent research work with graduate students has advanced multilingual text recognition, receiving multiple awards including the DAS 2016 Best Paper Award, the ICDAR 2019 Best Student Paper Runner Up Award, and the DRR 2015 Best Student Paper Award. Ruijie Yan received his B.Sc. degree in 2017 and Ph.D. degree in 2022 from the Department of Electronic Engineering at Tsinghua University, Beijing, China. He is currently a senior applied scientist at Microsoft (China) Co. Ltd. His research interests include computer vision and machine learning. He has published several papers in venues such as CVPR, ECCV, etc., and won the ICPR 2020 and ICDAR 2017 Arabic Video Text Detection and Recognition competitions.  

Caractéristiques détaillées - droits

EAN PDF
9789819678983
Prix
52,74 €
Nombre pages copiables
1
Nombre pages imprimables
11
Taille du fichier
14213 Ko
EAN EPUB
9789819678983
Prix
52,74 €
Nombre pages copiables
1
Nombre pages imprimables
11
Taille du fichier
15483 Ko

Suggestions personnalisées