Classification of Central Javanese Batik Images Using the PNN Method

DOI

10.2991/978-94-6463-764-9_10How to use a DOI?

Keywords

Gabor filter; Classification; PNN; Typical Batik; Semarang Batik

Abstract

The goal of this study was to classify images of typical Central Javanese batik, including Pekalongan, Semarang, Lasem, Pati, and Solo batik. Batik has a variety of varied motifs; each region in Indonesia has certain characteristics on batik motifs. Based on literature studies, the use of probabilistic neural network methods to recognize complex patterns has a satisfactory rate of success. The types of batik motifs typically used in Central Java include Truntum from Solo, Warak Ngendhog from Semarang, Sekar Jagad from Lasem, Burnt from Pati, and Jlamprang from Pekalongan. The research utilized ninety typical Central Javanese batik motifs obtained from batik artisans and the Pekalongan Batik Museum. The study followed several stages: image acquisition, pre-processing, feature extraction, classification, and evaluation. For feature extraction, the texture features of the batik images were extracted using the Gabor Filter method. The optimal combination for this study involved Gabor filters with an orientation angle of 90º, a wavelength of 4, and six Gabor filter feature parameters. The evaluation results of the proposed method indicated that the probabilistic artificial neural network, combined with Gabor filter feature extraction, achieved an accuracy of 90%.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Laily Muntasiroh
AU  - Indah Manfaati Nur
AU  - Hendriansyah Hendriansyah
PY  - 2025
DA  - 2025/07/30
TI  - Classification of Central Javanese Batik Images Using the PNN Method
BT  - Proceedings of the 3rd Lawang Sewu International Symposium on Engineering and Applied Sciences (LEWIS-EAS 2024)
PB  - Atlantis Press
SP  - 100
EP  - 110
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-764-9_10
DO  - 10.2991/978-94-6463-764-9_10
ID  - Muntasiroh2025
ER  -