K-Nearest Neighbor for Recognize Handwritten Arabic Character

Handwritten text recognition is the ability of a system to recognize human handwritten and convert it into digital text. Handwritten text recognition is a form of classification problem, so a classification algorithm such as Nearest Neighbor (NN) is needed to solve it. NN algorithms is a simple algo...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autor principal:	Muhammad Athoillah
Formato:	article
Lenguaje:	EN
Publicado:	Department of Mathematics, UIN Sunan Ampel Surabaya 2019
Materias:	arabic character, classification, handwritten, nearest neighbor, text recognition Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/c1010976340948caa58a43b4d51af417
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:c1010976340948caa58a43b4d51af417
record_format	dspace
spelling	oai:doaj.org-article:c1010976340948caa58a43b4d51af4172021-12-02T16:54:23ZK-Nearest Neighbor for Recognize Handwritten Arabic Character2527-31592527-316710.15642/mantik.2019.5.2.83-89https://doaj.org/article/c1010976340948caa58a43b4d51af4172019-10-01T00:00:00Zhttp://jurnalsaintek.uinsby.ac.id/index.php/mantik/article/view/658https://doaj.org/toc/2527-3159https://doaj.org/toc/2527-3167Handwritten text recognition is the ability of a system to recognize human handwritten and convert it into digital text. Handwritten text recognition is a form of classification problem, so a classification algorithm such as Nearest Neighbor (NN) is needed to solve it. NN algorithms is a simple algorithm yet provide a good result. In contrast with other algorithms that usually determined by some hypothesis class, NN Algorithm finds out a label on any test point without searching for a predictor within some predefined class of functions. Arabic is one of the most important languages in the world. Recognizing Arabic character is very interesting research, not only it is a primary language that used in Islam but also because the number of this research is still far behind the number of recognizing handwritten Latin or Chinese research. Due to that's the background, this framework built a system to recognize handwritten Arabic Character from an image dataset using the NN algorithm. The result showed that the proposed method could recognize the characters very well confirmed by its average of precision, recall and accuracy.Muhammad AthoillahDepartment of Mathematics, UIN Sunan Ampel Surabayaarticlearabic character, classification, handwritten, nearest neighbor, text recognitionMathematicsQA1-939ENMantik: Jurnal Matematika, Vol 5, Iss 2, Pp 83-89 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	arabic character, classification, handwritten, nearest neighbor, text recognition Mathematics QA1-939
spellingShingle	arabic character, classification, handwritten, nearest neighbor, text recognition Mathematics QA1-939 Muhammad Athoillah K-Nearest Neighbor for Recognize Handwritten Arabic Character
description	Handwritten text recognition is the ability of a system to recognize human handwritten and convert it into digital text. Handwritten text recognition is a form of classification problem, so a classification algorithm such as Nearest Neighbor (NN) is needed to solve it. NN algorithms is a simple algorithm yet provide a good result. In contrast with other algorithms that usually determined by some hypothesis class, NN Algorithm finds out a label on any test point without searching for a predictor within some predefined class of functions. Arabic is one of the most important languages in the world. Recognizing Arabic character is very interesting research, not only it is a primary language that used in Islam but also because the number of this research is still far behind the number of recognizing handwritten Latin or Chinese research. Due to that's the background, this framework built a system to recognize handwritten Arabic Character from an image dataset using the NN algorithm. The result showed that the proposed method could recognize the characters very well confirmed by its average of precision, recall and accuracy.
format	article
author	Muhammad Athoillah
author_facet	Muhammad Athoillah
author_sort	Muhammad Athoillah
title	K-Nearest Neighbor for Recognize Handwritten Arabic Character
title_short	K-Nearest Neighbor for Recognize Handwritten Arabic Character
title_full	K-Nearest Neighbor for Recognize Handwritten Arabic Character
title_fullStr	K-Nearest Neighbor for Recognize Handwritten Arabic Character
title_full_unstemmed	K-Nearest Neighbor for Recognize Handwritten Arabic Character
title_sort	k-nearest neighbor for recognize handwritten arabic character
publisher	Department of Mathematics, UIN Sunan Ampel Surabaya
publishDate	2019
url	https://doaj.org/article/c1010976340948caa58a43b4d51af417
work_keys_str_mv	AT muhammadathoillah knearestneighborforrecognizehandwrittenarabiccharacter
_version_	1718382884204576768

K-Nearest Neighbor for Recognize Handwritten Arabic Character

Ejemplares similares