DEVELOPMENT OF AN IMPROVED DATABASE FOR YORUBA HANDWRITTEN CHARACTER

For improved human comprehension and autonomous machine perception, optical character recognition has been saddled with the task of translating printed or hand-written materials into digital text files. Many works have been proposed and implemented in the computerization of different human language...

Full description

Saved in:
Bibliographic Details
Main Authors: OLUWASHINA O. OYENIRAN, JOSHUA O. OYENIYI, LAWRENCE O. OMOTOSHO, IBRAHIM K. OGUNDOYIN
Format: Article
Language:English
Published: Alma Mater Publishing House "Vasile Alecsandri" University of Bacau 2021-12-01
Series:Journal of Engineering Studies and Research
Subjects:
Online Access:https://jesr.ub.ro/index.php/1/article/view/302
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1823858334886789120
author OLUWASHINA O. OYENIRAN
JOSHUA O. OYENIYI
LAWRENCE O. OMOTOSHO
IBRAHIM K. OGUNDOYIN
author_facet OLUWASHINA O. OYENIRAN
JOSHUA O. OYENIYI
LAWRENCE O. OMOTOSHO
IBRAHIM K. OGUNDOYIN
author_sort OLUWASHINA O. OYENIRAN
collection DOAJ
description For improved human comprehension and autonomous machine perception, optical character recognition has been saddled with the task of translating printed or hand-written materials into digital text files. Many works have been proposed and implemented in the computerization of different human languages in the global community, but microscopic attempts have also been made to place Yoruba Handwritten Character on the board of Optical Character Recognition. This study developed a novel available dataset for research on offline Yoruba handwritten character recognition so as to fill the gaps in the existing knowledge. The developed database contains a total of 12,600 characters being made up of 70 classes from a total number of 200 writers, in which 80 % (10,500) is regarded as the training and validation dataset while the remaining 20 % (2,100) is regarded as testing dataset. The dataset is available on https://github.com/oluwashina90/Yoruba-handwritten-character-database. Hence, it is the complete and largest dataset available for Yoruba Handwritten character research.
format Article
id doaj-art-4ffb1084eeba4c9bbf5127c7558d78f0
institution Kabale University
issn 2068-7559
2344-4932
language English
publishDate 2021-12-01
publisher Alma Mater Publishing House "Vasile Alecsandri" University of Bacau
record_format Article
series Journal of Engineering Studies and Research
spelling doaj-art-4ffb1084eeba4c9bbf5127c7558d78f02025-02-11T11:40:02ZengAlma Mater Publishing House "Vasile Alecsandri" University of BacauJournal of Engineering Studies and Research2068-75592344-49322021-12-0127410.29081/jesr.v27i4.302DEVELOPMENT OF AN IMPROVED DATABASE FOR YORUBA HANDWRITTEN CHARACTEROLUWASHINA O. OYENIRANJOSHUA O. OYENIYILAWRENCE O. OMOTOSHOIBRAHIM K. OGUNDOYIN For improved human comprehension and autonomous machine perception, optical character recognition has been saddled with the task of translating printed or hand-written materials into digital text files. Many works have been proposed and implemented in the computerization of different human languages in the global community, but microscopic attempts have also been made to place Yoruba Handwritten Character on the board of Optical Character Recognition. This study developed a novel available dataset for research on offline Yoruba handwritten character recognition so as to fill the gaps in the existing knowledge. The developed database contains a total of 12,600 characters being made up of 70 classes from a total number of 200 writers, in which 80 % (10,500) is regarded as the training and validation dataset while the remaining 20 % (2,100) is regarded as testing dataset. The dataset is available on https://github.com/oluwashina90/Yoruba-handwritten-character-database. Hence, it is the complete and largest dataset available for Yoruba Handwritten character research. https://jesr.ub.ro/index.php/1/article/view/302database, yoruba, handwritten character
spellingShingle OLUWASHINA O. OYENIRAN
JOSHUA O. OYENIYI
LAWRENCE O. OMOTOSHO
IBRAHIM K. OGUNDOYIN
DEVELOPMENT OF AN IMPROVED DATABASE FOR YORUBA HANDWRITTEN CHARACTER
Journal of Engineering Studies and Research
database, yoruba, handwritten character
title DEVELOPMENT OF AN IMPROVED DATABASE FOR YORUBA HANDWRITTEN CHARACTER
title_full DEVELOPMENT OF AN IMPROVED DATABASE FOR YORUBA HANDWRITTEN CHARACTER
title_fullStr DEVELOPMENT OF AN IMPROVED DATABASE FOR YORUBA HANDWRITTEN CHARACTER
title_full_unstemmed DEVELOPMENT OF AN IMPROVED DATABASE FOR YORUBA HANDWRITTEN CHARACTER
title_short DEVELOPMENT OF AN IMPROVED DATABASE FOR YORUBA HANDWRITTEN CHARACTER
title_sort development of an improved database for yoruba handwritten character
topic database, yoruba, handwritten character
url https://jesr.ub.ro/index.php/1/article/view/302
work_keys_str_mv AT oluwashinaooyeniran developmentofanimproveddatabaseforyorubahandwrittencharacter
AT joshuaooyeniyi developmentofanimproveddatabaseforyorubahandwrittencharacter
AT lawrenceoomotosho developmentofanimproveddatabaseforyorubahandwrittencharacter
AT ibrahimkogundoyin developmentofanimproveddatabaseforyorubahandwrittencharacter