Advancements and Challenges in Arabic Optical Character Recognition: A Comprehensive Survey

19 December 2023

Papers citing "Advancements and Challenges in Arabic Optical Character Recognition: A Comprehensive Survey"

8 / 8 papers shown

Title
Handwritten Arabic Character Recognition for Children Writ-ing Using Convolutional Neural Network and Stroke Identification Mais Alheraki Rawan N. Al-Matham H. Al-Khalifa 49 19 0 03 Nov 2022
KOHTD: Kazakh Offline Handwritten Text Dataset N. Toiganbayeva M. Kasem Galymzhan Abdimanap K. Bostanbekov Abdelrahman Abdallah Anel N. Alimova D. Nurseitov 97 24 0 22 Sep 2021
ICDAR2019 Competition on Scanned Receipt OCR and Information Extraction Zheng Huang Kai Chen Jianhua He X. Bai Dimosthenis Karatzas Shijian Lu C. V. Jawahar 57 319 0 18 Mar 2021
Classification of Handwritten Names of Cities and Handwritten Text Recognition using Various Deep Learning Models D. Nurseitov K. Bostanbekov Maksat Kanatov Anel N. Alimova Abdelrahman Abdallah Galymzhan Abdimanap 33 33 0 09 Feb 2021
Attention-based Fully Gated CNN-BGRU for Russian Handwritten Text Abdelrahman Abdallah Mohamed Hamada D. Nurseitov 43 44 0 12 Aug 2020
Automated Question Answer medical model based on Deep Learning Technology Abdelrahman Abdallah M. Kasem Mohamed Hamada Shaymaa Sdeek LM&MA AI4MH MedIm 38 27 0 21 May 2020
OCR4all -- An Open-Source Tool Providing a (Semi-)Automatic OCR Workflow for Historical Printings Christian Reul Dennis Christ Alexander Hartelt Nico Balbach Maximilian Wehner U. Springmann C. Wick Christine Grundig Andre Büttner F. Puppe 47 61 0 09 Sep 2019
Attention-Based Models for Speech Recognition J. Chorowski Dzmitry Bahdanau Dmitriy Serdyuk Kyunghyun Cho Yoshua Bengio 129 2,609 0 24 Jun 2015