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Computational modelling of an optical character recognition system for Yorùbá printed text images

  • Published:2020-09 Issue: Volume:9 Page:e00415
  • ISSN:2468-2276
  • Container-title:Scientific African
  • language:en
  • Short-container-title:Scientific African

Author:

ONI Olalekan Joseph,ASAHIAH Franklin Oladiipo

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference22 articles.

1. Is Yorùbá an endangered language?;Fabunmi;Nord. J. Afri. Stud.,2005

2. Optical character recognition (ocr) system;Isheawy;IOSR J. Comput. Eng.,2015

3. Feature extraction methods for character recognition-a survey;Trier;Pattern Recognit.,1996

4. Skew angle estimation for printed and handwritten documents using the wigner–ville distribution;Kavallieratou;Image Vis. Comput.,2002

5. Ocr-based chassis-number recognition using artificial neural networks;Shah,2009

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1. Instance Segmentation of Characters Recognized in Palmyrene Aramaic Inscriptions;Computer Modeling in Engineering & Sciences;2024

2. Ensemble Learning for Medical Image Character Recognition based on Enhanced Lenet-5;2023 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB);2023-08-29

3. FGW-VnText: A Deep Learning-based System for Detecting and Recognizing Vietnamese Identity Cards and Citizen Identities;Proceedings of the 2023 8th International Conference on Intelligent Information Technology;2023-02-24

4. IMPROVING THE IMAGE-TO-SPEECH SYSTEM ACCURACY THROUGH INTEGRATION OF OPTICAL CHARACTER RECOGNITION AND LANGUAGE PROCESSING TECHNIQUES;INFORMATION TECHNOLOGIES, ELECTRONICS, RADIO ENGINEERING;2023

5. YORÙBÁ CHARACTER RECOGNITION SYSTEM USING CONVOLUTIONAL RECURRENT NEURAL NETWORK;Black Sea Journal of Engineering and Science;2022-09-08
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