Results 21 to 30 of about 226,611 (194)

Text detection method based on HDBNet in natural scenes

open access: yesThe Journal of Engineering, Volume 2023, Issue 1, January 2023., 2023
Abstract To solve the problem of large expansion offset of text detection in natural scenes, a text detection method based on HDBNet is proposed. First, the probability map of the text region is obtained by segmenting the image. The binary map is obtained by using the differentiable binarization of the probability map.
Li Wang, Xiang Yao, Chenwei Song
wiley   +1 more source

Advances and Limitations in Open Source Arabic-Script OCR: A Case Study

open access: yesDigital Studies, 2021
This work presents an accuracy study of the open source OCR engine, Kraken, on the leading Arabic scholarly journal, al-Abhath. In contrast with other commercially available OCR engines, Kraken is shown to be capable of producing highly accurate Arabic ...
Benjamin Kiessling   +3 more
doaj   +2 more sources

Tamil OCR Conversion from Digital Writing Pad Recognition Accuracy Improves through Modified Deep Learning Architectures

open access: yesJournal of Sensors, Volume 2023, Issue 1, 2023., 2023
Digital handwritten recognition is an emerging field in optical character recognition (OCR). A digital writing pad replaces manual writing. In digital writing, the alphabet changes in font and shape. During OCR recognition, covert text file errors occur due to digital pen pressure and digital pen position on the digital pad by the writer.
V. Jayanthi, S. Thenmalar, Huan Liu
wiley   +1 more source

OCR with Tesseract, Amazon Textract, and Google Document AI: A Benchmarking Experiment

open access: yes, 2021
Optical Character Recognition (OCR) can open up understudied historical documents to computational analysis, but the accuracy of OCR software varies. This article reports a benchmarking experiment comparing the performance of Tesseract, Amazon Textract ...
Thomas Hegghammer
core   +1 more source

Arabic Documents Information Retrieval for Printed, Handwritten, and Calligraphy Image

open access: yesIEEE Access, 2021
This paper presents a new computational backend model that supports Arabic document information retrieval (ADIR) as a dataset and OCR services. Therefore, different services that support document analysis, retrieving, processing including dataset ...
Hassanin M. Al-Barhamtoshy   +3 more
doaj   +1 more source

Segmentation-based, omnifont printed Arabic character recognition without font identification

open access: yesJournal 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
doaj   +1 more source

Human and automatic annotation of discourse relations for Arabic [PDF]

open access: yes, 2012
This thesis describes the first, inter-disciplinary, study on human and automatic discourse annotation for explicit discourse connectives in Modern Standard Arabic (MSA).
Alsaif, Amal
core   +6 more sources

Important New Developments in Arabographic Optical Character Recognition

open access: yesAl-'Usur al-Wusta, 2017
The Open Islamicate Texts Initiative (OpenITI) team1 —building on the foundational opensource OCR work of the Leipzig University (LU) Alexander von Humboldt Chair for Digital Humanities—has achieved Optical Character Recognition (OCR) accuracy rates for ...
Matthew Thomas Miller
doaj   +1 more source

Character Recognition of Arabic Handwritten Characters Using Deep Learning

open access: yesJournal 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
doaj   +1 more source

An efficient, font independent word and character segmentation algorithm for printed Arabic text

open access: yesJournal of King Saud University: Computer and Information Sciences, 2022
Characters segmentation is a necessity and the most critical stage in Arabic OCR system. It has attracted the interest of a wide range of researchers. However, the nature of the Arabic cursive script poses extra challenges that need further investigation.
Aziz Qaroush   +5 more
doaj   +1 more source

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