Integrating CNN and transformer architectures for superior Arabic printed and handwriting characters classification [PDF]
Scientific ReportsOptical Character Recognition (OCR) systems play a crucial role in converting printed Arabic text into digital formats, enabling various applications such as education and digital archiving.
Mohammed R. Al-Maamari +3 more
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Reconocimiento de caracteres mediante OCR (Optical Character Recognition)
Programación Matemática y Software, 2018 En este trabajo, se implementaron técnicas para el reconocimiento digital de caracteres, utilizando la técnica OCR (Reconocimiento Óptico de Caracteres), que implementa métodos como binarización, etiquetado, esqueletización y proyección de trazas en las
Gustavo Medina Ángel +2 more
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A Comparative Study of OCR Architectures for Korean License Plate Recognition: CNN–RNN-Based Models and MobileNetV3–Transformer-Based Models [PDF]
SensorsThis paper presents a systematic comparative study of optical character recognition (OCR) architectures for Korean license plate recognition under identical detection conditions.
Seungju Lee, Gooman Park
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Character Recognition of Arabic Handwritten Characters Using Deep Learning
Journal of Studies in Science and Engineering, 2022 Optical character recognition (OCR) is used to digitize texts in printed documents and camera images. The most basic step in the OCR process is character recognition.
Mohammed Widad Jbrail +1 more
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Zernike Moments Based Handwritten Pashto Character Recognition Using Linear Discriminant Analysis
Mehran University Research Journal of Engineering and Technology, 2021 This paper presents an efficient Optical Character Recognition (OCR) system for offline isolated Pashto characters recognition. Developing an OCR system for handwritten character recognition is a challenging task because of the handwritten characters ...
Sardar Jehangir +4 more
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Segmentation-based, omnifont printed Arabic character recognition without font identification
Journal of King Saud University: Computer and Information Sciences, 2022 Optical Character Recognition OCR is an essential part of many real-world applications such as digital archiving, automatic number plate recognition, handle cheques, etc.
Aziz Qaroush +3 more
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IMAGE BACKGROUND PROCESSING FOR COMPARING ACCURACY VALUES OF OCR PERFORMANCE
Pilar Nusa Mandiri, 2020 Optical Character Recognition (OCR) is an application used to process digital text images into text. Many documents that have a background in the form of images in the visual context of the background image increase the security of documents that state ...
Desiana Nur Kholifah +2 more
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Journal of Applied Engineering and Technological Science, 2022 The development of technology in Indonesia is currently increasingly advanced in people's lives and cannot be avoided. The use of Artificial Intelligence in helping humans in dealing with problems is growing.
Ikha Novie Tri Lestari +1 more
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Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR)
IEEE Access, 2020 Given the ubiquity of handwritten documents in human transactions, Optical Character Recognition (OCR) of documents have invaluable practical worth. Optical character recognition is a science that enables to translate various types of documents or images
Jamshed Memon +3 more
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Evaluation of deep learning approaches for optical character recognition in Urdu language
Mehran University Research Journal of Engineering and Technology, 2022 With the evolving technological era, the optical character recognition systems have substantial execution, considering the widespread use of daily hand-written human transaction. Optical Character Recognition (OCR) is an implementation of Computer Vision
Mehak Riaz +2 more
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