An Improved Indexing Technique for Tribal Art Retrieval System

Nowadays the handmade tribal art products attract the people due to their smooth finishing. Currently many platforms are available for them but, they are fetching result with irrelevant list of the product and supports only keyword search. So, there is a need of the tribal art product retrieval system which fetch the results quickly and accurately based on the indexing mechanism. So, the proposed retrieval system has been implemented for fetching the correct result within minimum time from large tribal product dataset. The indexing and retrieved mechanism for image has been improved using deep learning and distributed structure of indexing mechanism. The deep learning technique has been used to fetch the accurate results and distributed indexing mechanism reduces the time of searching the images through the very large tribal art dataset. The proposed system has been analyzed using different parameters. The proposed system gives 82% accuracy of the result based on the input query image.