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OCR performance prediction using cross-OCR alignment
2015 13th International Conference on Document Analysis and Recognition (ICDAR), 2015Since 2006 the national library of France (BnF) has developed many mass digitization projects on its collections. The indexation of digital documents on Gallica (the digital library of the BnF) is done through their textual content obtained thanks to service providers that use Optical Character Recognition software (OCR). The modern technologies of OCR
Ben Salah, Ahmed +3 more
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2020 7th International Conference on Smart Structures and Systems (ICSSS), 2020
India is a multilingual country where the spoken language changes after every 50 kilometres. Therefore there is no single universal language. Globalization brought the need to have knowledge of English but only 5 percent of the population is familiar with English and the rest of the population uses different languages.
Nikhil Chigali +3 more
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India is a multilingual country where the spoken language changes after every 50 kilometres. Therefore there is no single universal language. Globalization brought the need to have knowledge of English but only 5 percent of the population is familiar with English and the rest of the population uses different languages.
Nikhil Chigali +3 more
openaire +1 more source
Development of an Assamese OCR using Bangla OCR
Proceeding of the workshop on Document Analysis and Recognition, 2012This paper refers to the development of an OCR for the Assamese language by modifying an existing OCR for the Bangla language. This modification is feasible because the Assamese script is similar, except for a few characters, to the Bangla script. The OCR incorporates a two stage recognizer using SVM classifier with no post-processing.
Subhankar Ghosh +3 more
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Proceedings of the First International Conference on Digital Access to Textual Cultural Heritage, 2014
We describe a system for automatic post OCR text correction of digital collections of historical texts. Documents, such as old newspapers, are often degraded, so even the best OCR tools can yield garbled text. When keywords are corrupted, text is invisible to search tools. Manual correction is not feasible for large collections. Our non-interactive OCR
John Evershed, Kent Fitch
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We describe a system for automatic post OCR text correction of digital collections of historical texts. Documents, such as old newspapers, are often degraded, so even the best OCR tools can yield garbled text. When keywords are corrupted, text is invisible to search tools. Manual correction is not feasible for large collections. Our non-interactive OCR
John Evershed, Kent Fitch
openaire +1 more source
Using OpenMP Directives to Accelerate OCR with Tesseract OCR
COMPUTER AND INFORMATION SYSTEMS AND TECHNOLOGIES, 2021This paper is devoted the methods of speed-up optical character recognition which is used for transformation of the scanned image to the edited text format. The example of application of these methods are the systems of the automated search of fragment of text in the catalogues of electronic libraries, where as an entrance format both the entered
Barkovska, Olesia, Ryzhov, Ihor
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A Survey of OCR in Arabic Language: Applications, Techniques, and Challenges
Applied Sciences (Switzerland), 2023Safiullah Faizullah +2 more
exaly