A benchmark dataset for printed Meitei/Meetei script character recognition

The Manipuri language is the official language of the Indian state of Manipur. The language belongs to the Tibeto-Burman family of languages. A benchmark Meitei/Meetei script printed document images dataset is presented in this article. The dataset contains raw 824 pages of printed documents and bin...

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Autores principales: Khuman, Yanglem Loijing Khomba, Devi, Salam Dickeeta, Singh, Ch. Ponykumar, Devi, H. Mamata, Singh, N. Ajith
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679442/
https://www.ncbi.nlm.nih.gov/pubmed/36426059
http://dx.doi.org/10.1016/j.dib.2022.108585
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author Khuman, Yanglem Loijing Khomba
Devi, Salam Dickeeta
Singh, Ch. Ponykumar
Devi, H. Mamata
Singh, N. Ajith
author_facet Khuman, Yanglem Loijing Khomba
Devi, Salam Dickeeta
Singh, Ch. Ponykumar
Devi, H. Mamata
Singh, N. Ajith
author_sort Khuman, Yanglem Loijing Khomba
collection PubMed
description The Manipuri language is the official language of the Indian state of Manipur. The language belongs to the Tibeto-Burman family of languages. A benchmark Meitei/Meetei script printed document images dataset is presented in this article. The dataset contains raw 824 pages of printed documents and binarized images, text files, and XML files for each raw image. It also includes 51,460 isolated character samples, composed of 27 consonants, 7 half-consonants, 8 vowels, and 10 numerical. This dataset could be used for optical character recognition (OCR) research and in the different research areas of natural language processing (NLP).
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spelling pubmed-96794422022-11-23 A benchmark dataset for printed Meitei/Meetei script character recognition Khuman, Yanglem Loijing Khomba Devi, Salam Dickeeta Singh, Ch. Ponykumar Devi, H. Mamata Singh, N. Ajith Data Brief Data Article The Manipuri language is the official language of the Indian state of Manipur. The language belongs to the Tibeto-Burman family of languages. A benchmark Meitei/Meetei script printed document images dataset is presented in this article. The dataset contains raw 824 pages of printed documents and binarized images, text files, and XML files for each raw image. It also includes 51,460 isolated character samples, composed of 27 consonants, 7 half-consonants, 8 vowels, and 10 numerical. This dataset could be used for optical character recognition (OCR) research and in the different research areas of natural language processing (NLP). Elsevier 2022-09-15 /pmc/articles/PMC9679442/ /pubmed/36426059 http://dx.doi.org/10.1016/j.dib.2022.108585 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Khuman, Yanglem Loijing Khomba
Devi, Salam Dickeeta
Singh, Ch. Ponykumar
Devi, H. Mamata
Singh, N. Ajith
A benchmark dataset for printed Meitei/Meetei script character recognition
title A benchmark dataset for printed Meitei/Meetei script character recognition
title_full A benchmark dataset for printed Meitei/Meetei script character recognition
title_fullStr A benchmark dataset for printed Meitei/Meetei script character recognition
title_full_unstemmed A benchmark dataset for printed Meitei/Meetei script character recognition
title_short A benchmark dataset for printed Meitei/Meetei script character recognition
title_sort benchmark dataset for printed meitei/meetei script character recognition
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679442/
https://www.ncbi.nlm.nih.gov/pubmed/36426059
http://dx.doi.org/10.1016/j.dib.2022.108585
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