Image Batik Classification Based using Ensemble Learning

Abstract

Automatic feature descriptor is substantial part of component in the textural image retrieval and classification. Image batik has its unique pattern characteristic such as color intensity, ornament visualisation and ornament size. In motive of batik classificatin rneed feature extraction methods. The scale invariant feature transform (SIFT ) can be used for feature descriptor in some applications. In this paper, we presents an efficient based on Bag of Words (BoW) with features of scale invariant feature transform and ensemble classifier for improving classification accuracy