Authors:

I Kadek Agus Chandra Pradika, Luh Arida Ayu Rahning Putri, I Gede Santi Astawa, Ida Bagus Gede Dwidasmara, I Gede Arta Wibawa, Made Agung Raharja

Abstract:

“Balinese script has a character with high similarity. Identifying classes between characters requires an optimal pattern recognition model by maximizing the use of feature extraction methods. The use of feature extraction methods in the dataset aims to obtain the characteristic value of each character, in the case of Balinese script data, a method with detailed feature retrieval is used using the zoning method. This study also added the additional factor of the direction feature. The learning method uses a neural network with a backpropagation algorithm. Tests on character data get the highest accuracy in the combination of 16x16 zone ICZ + ZCZ zoning features with the addition of direction features that are 91.18%, ZCZ zone 16x16 zoning and direction with 86.82% accuracy, and ICZ zoning 16x16 and direction zones with 82.43% accuracy. The highest increase in accuracy is found in the ZCZ feature with a difference of addition of 4.36%. The implementation of the model in word testing has an accuracy of 66.2 % and the results of segmentation testing are 97.33 %.”

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PDF:

https://jurnal.harianregional.com/jlk/full-96904

Published

2023-01-21

How To Cite

PRADIKA, I Kadek Agus Chandra et al. Pengenalan Pola Karakter Tulisan Tangan Aksara Bali Menggunakan Fitur Zoning, Direction, dan Backpropagation.JELIKU (Jurnal Elektronik Ilmu Komputer Udayana), [S.l.], v. 11, n. 3, p. 663-670, jan. 2023. ISSN 2654-5101. Available at: https://ojs.unud.ac.id/index.php/JLK/article/view/96904. Date accessed: 08 Jul. 2024. doi:https://doi.org/10.24843/JLK.2023.v11.i03.p23.

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Issue

Vol 11 No 3 (2023): JELIKU Volume 11 No 3, February 2023

Section

Articles

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License