Studi Analisis Pengenalan Pola Tulisan Tangan Angka Arabic (Indian) menggunakan Metode K- Nearest Neighbors dan Connected Component Labeling

Dinamika Rekayasa

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Field Value
 
Title Studi Analisis Pengenalan Pola Tulisan Tangan Angka Arabic (Indian) menggunakan Metode K- Nearest Neighbors dan Connected Component Labeling
 
Creator Akbar, Roni
Sarwoko, Eko Adi
 
Subject
Pengenalan Pola, Tulisan Tangan, Angka Arabic (Indian), Connected Component Labeling, K- Nearest Neighbors
 
Description Handwriting refers to the result of writing by hand (not typed). The writing style of people are not the same. One of the United Nations official languages, Arabic, has a numerical system known as Arabic (Indian) numeral. The identification of feature help humans to be able distinguish the patterns. The grouping patterns can be applied to the machine for recognizing object in the image. Connected component labeling is used for separating characters to be easily recognizable. K- nearest neighbors is used to find the similarity value between query image and template images are based on the nearest neighbors class. This analytical study was tested using 100 test images. The top three classification results of Arabic (Indian) handwritten recognition use k- nearest neighbors  (KNN) are 86% when k = 1, 84% when k = 3, and 83% with k = 5.
 
Publisher Jenderal Soedirman University
 
Contributor
 
Date 2017-03-06
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article

 
Format application/pdf
 
Identifier http://dinarek.unsoed.ac.id/jurnal/index.php/dinarek/article/view/144
 
Source Dinamika Rekayasa; Vol 12, No 2 (2016): Dinamika Rekayasa - Agustus 2016; 45-51
2527-6131
1858-3075
 
Language eng
 
Relation http://dinarek.unsoed.ac.id/jurnal/index.php/dinarek/article/view/144/pdf
 
Rights Copyright (c) 2017 Dinamika Rekayasa
http://creativecommons.org/licenses/by/4.0
 

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