Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Zouhaira Noubigh"'
Publikováno v:
International Journal of Hybrid Intelligent Systems. 17:113-127
In recent years, Deep neural networks (DNNs) have achieved great success in sequence modeling. Several deep models have been used for enhancing Handwriting Text Recognition (HTR). Among these models, Convolutional Neural Networks (CNNs) and Recurrent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f86dafcac1281ac5e60fca6e0c0f73c
https://doi.org/10.3233/his-210009
https://doi.org/10.3233/his-210009
Publikováno v:
Computational Collective Intelligence ISBN: 9783031160134
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a0c27eeef80ff2c868313f869cf91ec
https://doi.org/10.1007/978-3-031-16014-1_11
https://doi.org/10.1007/978-3-031-16014-1_11
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030711863
ISDA
ISDA
The offline Arabic text recognition is a substantial problem that has several important applications. It has attracted special emphasis and has become one of the challenging areas of research in the field of computer vision. Deep Neural Networks (DNN
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3157cf5e83c6382f173a92c1bd4f2f21
https://doi.org/10.1007/978-3-030-71187-0_9
https://doi.org/10.1007/978-3-030-71187-0_9
Publikováno v:
ACIT
In recent years, the leveraging of deep learning approaches allows a great progress in text recognition task. But they usually need a considerable amount of training examples to learn a new model. Therefore, lack of data can be an issue when developi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c256278ca2860e7230d0801b5c543e8b
https://doi.org/10.1109/acit50332.2020.9300105
https://doi.org/10.1109/acit50332.2020.9300105
Publikováno v:
Hybrid Intelligent Systems ISBN: 9783030493356
HIS
HIS
Arabic handwriting recognition is considered among the most important and challenging recognition research subjects due to the cursive nature of writing and the similarities between different characters shapes. In this paper, we investigate the probl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9edfb9cd61c33eef9dbfe19eac66c931
https://doi.org/10.1007/978-3-030-49336-3_13
https://doi.org/10.1007/978-3-030-49336-3_13
Autor:
Monji Kherallah, Zouhaira Noubigh
Publikováno v:
ASAR
The success of online recognition systems leads to improving the performance of offline recognition systems using the recovery of dynamic information. Therefore, it appears the techniques that extract dynamic information from static text. Several tec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::744c9ac170349fe3e0ebec418354ca2f
https://doi.org/10.1109/asar.2017.8067762
https://doi.org/10.1109/asar.2017.8067762