Modeling identification of batik motif using the method of back-propagation artificial neural network and template matching algorithm

摘要

Batik has a vast variety of motifs and colors. Aside from its popularity as being part ofIndonesian culture, it has become the source of Indonesia's income. Batik was more promising in the past years for the business opportunities. Batik has economic and high export value as the commodity. Batik has become the main part of national culture, however there is a lack of understanding for many people, as they are still unaware about batik motifs and patterns. Therefore, it is needed for building a model to identify batik motifs. The model is constructed based on the method of artificial neural network back-propagation and template matching algorithm. The model is to identify the type of pattern motifs. Computational results using artificial neural network back-propagation method is capable to identify 9 types of motifs with 60% accuracy. Based on the results of the computation using the android smartphone to identify motifs using template matching algorithm, it is capable to recognize 9 kinds of motifs with 56% accuracy.