Character Identification in Images Extracted from Portuguese Manuscript Historical Documents

Gustavo Cunha Lacerda, Raimundo C. S. Vasconcelos

2024

Abstract

The creation of writing has facilitated the humanity’s accumulation and sharing of knowledge, being a vital part of what differentiates humans from other animals and has a high importance for the culture of all peoples. Thus, the first human records (manuscripts), historical documents of organizations and families, began to have new perspectives with the digital age accumulation. These handwritten records remained the primary source for the history of countries, including Brazil before the period of independence, until the Gutenberg movable type printing press dominated the archival world. Thus, over the decades, these handwritten documents, due to their fragility, became difficult to access and manipulate. This has changed, with the possibility of digitization and, consequently, its distribution over the internet. Therefore, this work shows a solution for transcribing historical texts written in Portuguese, bringing accessibility, searchability, sharing and preservation to these records, which achieved a result of 97% of letters recognized in the database used.

Paper Citation

in Harvard Style

Cunha Lacerda G. and C. S. Vasconcelos R. (2024). Character Identification in Images Extracted from Portuguese Manuscript Historical Documents. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP; ISBN 978-989-758-679-8, SciTePress, pages 401-408. DOI: 10.5220/0012353900003660

in Bibtex Style

@conference{visapp24,
author={Gustavo Cunha Lacerda and Raimundo C. S. Vasconcelos},
title={Character Identification in Images Extracted from Portuguese Manuscript Historical Documents},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP},
year={2024},
pages={401-408},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012353900003660},
isbn={978-989-758-679-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP
TI - Character Identification in Images Extracted from Portuguese Manuscript Historical Documents
SN - 978-989-758-679-8
AU - Cunha Lacerda G.
AU - C. S. Vasconcelos R.
PY - 2024
SP - 401
EP - 408
DO - 10.5220/0012353900003660
PB - SciTePress