Cargando…
Novel Deep Convolutional Neural Network-Based Contextual Recognition of Arabic Handwritten Scripts
Offline Arabic Handwriting Recognition (OAHR) has recently become instrumental in the areas of pattern recognition and image processing due to its application in several fields, such as office automation and document processing. However, OAHR continues to face several challenges, including high vari...
Autores principales: | Ahmed, Rami, Gogate, Mandar, Tahir, Ahsen, Dashtipour, Kia, Al-tamimi, Bassam, Hawalah, Ahmad, El-Affendi, Mohammed A., Hussain, Amir |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8001675/ https://www.ncbi.nlm.nih.gov/pubmed/33805765 http://dx.doi.org/10.3390/e23030340 |
Ejemplares similares
-
Convolutional ensembles for Arabic Handwritten Character and Digit Recognition
por: Palatnik de Sousa, Iam
Publicado: (2018) -
Artificial Intelligence–Enabled Social Media Analysis for Pharmacovigilance of COVID-19 Vaccinations in the United Kingdom: Observational Study
por: Hussain, Zain, et al.
Publicado: (2022) -
Artificial Intelligence–Enabled Analysis of Public Attitudes on Facebook and Twitter Toward COVID-19 Vaccines in the United Kingdom and the United States: Observational Study
por: Hussain, Amir, et al.
Publicado: (2021) -
An intelligent approach for Arabic handwritten letter recognition using convolutional neural network
por: Ullah, Zahid, et al.
Publicado: (2022) -
Sentiment Analysis of Persian Movie Reviews Using Deep Learning
por: Dashtipour, Kia, et al.
Publicado: (2021)