Banten Batik Classification with Backpropagation Neural Network

Author:

Fahrizal Rian,Parlindungan Siahaan Ridwan Prasetya,Wiryadinata Romi

Abstract

Batik Cloth is Indonesia heritage of the indigenous cultures. However, the lack of public awareness could made the other nations has claimed that Batik cloth as their heritage. Therefore, We will need serious attention to take the problems. The classification Banten pattern batik cloth had been made to protect the Batik pattern. The classification had been made with Artificial Neural Network with Lavender-Marquant methods. Gray-Level Co-Occurrence Matrix (GLCM) has been used to preprocessing the pattern from Gray scale images. The results showed that the Batik patterns had 97% accuracy and 2% error.

Publisher

EDP Sciences

Subject

General Medicine

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Pre-Processing Of Resize And Region Of Interest (ROI) To Improve The Accuracy Of Batik Detection Based On VGG-16;2023 10th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI);2023-09-20

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