Batik Image Classification Rule Extraction using Fuzzy Decision Trees

by Anita Ahmad Kasim,Retantyo Wardoyo
( Department of Electronic Engineering Tadulako University, Department of Computer Science and Electronics Instrumentation Faculty of Mathematic and Natural Science Gadjah Mada University )

Date Published: 02 Dec 2013
Published In: Information Systems International Conference (ISICO)
Volume: 2013
Publisher: Departemen Sistem Informasi, Institut Teknologi Sepuluh Nopember
Language: id-ID

Keywords: Classification rule,Fuzzy Decision Tree,Batik,Pattern Recognition

Abstract

Batik is an Indonesian cultural heritage that recognized as an international cultural heritage. Batik as one of the world's cultural heritage can be preserve through the Batik Image Pattern Recognition. One of the things that important in pattern recognition is classification rule. In the pattern recognition necessary, clear determination of classification rules to be able to recognize a pattern well. Classification of data needed to identify potentially characteristics in the set N objects contained in a database. It is categorized them into groups different. This study aims to obtain the classification rules by using fuzzy decision tree. This study begins by acquiring image data batik (pre-processing), enhancement and segmentation (process), feature extraction include entropy, energy, contras and homogeneity. Next, calculate the value of information gain and construct a decision tree and finally extracting fuzzy classification rules batik patterns. Extract classification rules that can classify patterns of batik and batik pattern instead.


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