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CHINESE CHARACTER RECOGNITION USING SUPPORT VECTOR MACHINE

Optical character recognition is the art of scanning and detecting the word in the images so that the machine can identify and classify the character. Chinese characters are one of the world's most widely used writing systems. It is used by more than one-quarter of the world�s population in dai...

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Main Authors:	Baharum A., Ismail R., Wahab S.H.A., Deris F.D., Noor N.A.M., Kasihmuddin M.S.M.
Other Authors:	55916175500
Format:	Article
Published:	Little Lion Scientific 2023
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id	my.uniten.dspace-26745
record_format	dspace
spelling	my.uniten.dspace-267452023-05-29T17:36:29Z CHINESE CHARACTER RECOGNITION USING SUPPORT VECTOR MACHINE Baharum A. Ismail R. Wahab S.H.A. Deris F.D. Noor N.A.M. Kasihmuddin M.S.M. 55916175500 36080877900 57200169019 56285335200 57833379600 57192191975 Optical character recognition is the art of scanning and detecting the word in the images so that the machine can identify and classify the character. Chinese characters are one of the world's most widely used writing systems. It is used by more than one-quarter of the world�s population in daily communication. Chinese characters can be considered difficult because they have many categories, complex character structures, similarities between characters, and various fonts or writing styles. There are many known machine learning algorithms for character recognition, but not all can classify Chinese characters with high speed and accuracy. Therefore, this paper proposes recognizing Chinese characters using support vector machines. Support vector machines are a classification of two classes widely used in classification. It produces very accurate results for many classes, making it suitable for recognizing Chinese characters. � 2022 Little Lion Scientific. Final 2023-05-29T09:36:29Z 2023-05-29T09:36:29Z 2022 Article 2-s2.0-85138946620 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138946620&partnerID=40&md5=ae95f3ab6edb2799dd97e099ad2681f0 https://irepository.uniten.edu.my/handle/123456789/26745 100 17 5335 5340 Little Lion Scientific Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
description	Optical character recognition is the art of scanning and detecting the word in the images so that the machine can identify and classify the character. Chinese characters are one of the world's most widely used writing systems. It is used by more than one-quarter of the world�s population in daily communication. Chinese characters can be considered difficult because they have many categories, complex character structures, similarities between characters, and various fonts or writing styles. There are many known machine learning algorithms for character recognition, but not all can classify Chinese characters with high speed and accuracy. Therefore, this paper proposes recognizing Chinese characters using support vector machines. Support vector machines are a classification of two classes widely used in classification. It produces very accurate results for many classes, making it suitable for recognizing Chinese characters. � 2022 Little Lion Scientific.
author2	55916175500
author_facet	55916175500 Baharum A. Ismail R. Wahab S.H.A. Deris F.D. Noor N.A.M. Kasihmuddin M.S.M.
format	Article
author	Baharum A. Ismail R. Wahab S.H.A. Deris F.D. Noor N.A.M. Kasihmuddin M.S.M.
spellingShingle	Baharum A. Ismail R. Wahab S.H.A. Deris F.D. Noor N.A.M. Kasihmuddin M.S.M. CHINESE CHARACTER RECOGNITION USING SUPPORT VECTOR MACHINE
author_sort	Baharum A.
title	CHINESE CHARACTER RECOGNITION USING SUPPORT VECTOR MACHINE
title_short	CHINESE CHARACTER RECOGNITION USING SUPPORT VECTOR MACHINE
title_full	CHINESE CHARACTER RECOGNITION USING SUPPORT VECTOR MACHINE
title_fullStr	CHINESE CHARACTER RECOGNITION USING SUPPORT VECTOR MACHINE
title_full_unstemmed	CHINESE CHARACTER RECOGNITION USING SUPPORT VECTOR MACHINE
title_sort	chinese character recognition using support vector machine
publisher	Little Lion Scientific
publishDate	2023
_version_	1806423239370473472
score	13.222552

CHINESE CHARACTER RECOGNITION USING SUPPORT VECTOR MACHINE

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