TRADITIONAL INDIAN PAINTING RETRIEVAL SYSTEM BASED ON THE FUSION OF CURVELET AND GABOR TRANSFORM

Great interest in research on Content Based Image Retrieval has been witnessed by last decade. Now this has become the basis for large number of new techniques, systems and growing interest in related field to support such systems. Due to advancement of digital technology, spatially image capturing and data storage, bulk of images are being created and stored digitally. This results in creating large number of digital libraries. The need has risen for intuitive and effective image storage, indexing, classification and retrieval mechanism.

Gabor and Curvelet transform are well known technique for texture feature extraction. But when individually used are unable to give the benchmark results due to each suffers from some limitations. To get the  improved results In this paper fusion of Gabor and Wavelet are applied on the dataset which has been created by three traditional Indian paintings named as Warli, Madhubani, and Fadd as our country is well known all over the world for its art. In the second part of the paper the retrieval is also compared with the retrieval by using very effective Curvelet transform.