k-Nearest Neighbor (k-NN) Classification for Recognition of the Batik Lampung Motifs

Batik is a famous name of a traditional fabric from Java. It has been admitted as one if the traditional cultural heritage of Indonesia by UNESCO since October 2nd, 2009. Over the time, Batik is copied and modified by many regions in Indonesia resulting some new unique motifs. Batik Lampung is an sa...

Full description

Saved in:
Bibliographic Details
Published in:Journal of physics. Conference series 2019-10, Vol.1338 (1), p.12061
Main Authors: Andrian, R, Naufal, M A, Hermanto, B, Junaidi, A, Lumbanraja, F R
Format: Article
Language:English
Subjects:
Classification
Cultural heritage
Cultural resources
Feature extraction
Physics
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Batik is a famous name of a traditional fabric from Java. It has been admitted as one if the traditional cultural heritage of Indonesia by UNESCO since October 2nd, 2009. Over the time, Batik is copied and modified by many regions in Indonesia resulting some new unique motifs. Batik Lampung is an sample of them. This paper deals with the k-Nearest Neighbor classification of the motifs (pattern) of the Batik Lampung. The known motifs of Batik Lampung consist of Jung Agung, Siger Kembang Cengkih, Siger Ratu Agung, and Sembagi. The original image samples are stored in RGB. They are firstly resized into 50 x 50 pixels and then converted to grayscale image. To recognize them, the Gray Level Co-Occurence Matrix (GLCM) feature is extracted and k-Nearest Neighbor (k-NN) with values of k = 3, 5, 7, 9, 11 and orientation angle of 00 450, 900, 1350 is applied to classify the motifs. The best accuracy is achieved at the rate 97,96% for k = 7 and angle1350.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1338/1/012061