期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2016
卷号：92
期号：2
出版社：Journal of Theoretical and Applied
摘要：Indonesia traditional batik is a non-material cultural heritage which has patterns that basically divided into batik �keraton/pedalaman� and �pesisir�. An appropriate content-based image recognition method is needed to recognize the pattern of Indonesa traditional batik in a large image database. The results of this research can be used to recognize batik �keraton� and �pesisir� based on feature of wavelet energy and standard deviation, with 122 images as training dataset and 120 images as test datasets. Classification using binary non-linear support vector method, with feature extraction of discrete wavelete Transform (DWT) which was tested for wavelet types of Daubechies 1 - 5 with decomposition first level, and Daubechies 2 with decomposition 1st to 5th level. The Best result is obtained by Daubechies 2 decomposition thirth level with an accuracy of 96.7%. The result is better than the previous researches with the same datasets and classification method. The previous researches conducted using feature extraction method with fractal feature obtained an accuracy at 91.6%, and that which used GLCM with 20 parameters obtained an accuracy at 80%.
关键词：Image Retrieval; Traditional Batik; Decomposition Wavelet; Feature Extraction;Classification.
