International Journal of Advanced Computing and Communication Systems

Multi Label Natural Image Classification Using Artificial Neural Network

Bharathi A and Deepankumar E, Dept. of Information Technology Bannari Amman Institute of Technology Erode, TamilNadu, India.

International Journal of Advanced Computing and Communication Systems

ISSN (Online) : 2347 - 9299

ISSN (Print) : 2347 - 9280

Received On :

Revised On :

Accepted On :

Published On :

Volume 03, Issue 01

Page No : 011-014

Abstract

Supervised machine learning techniques used for multi label natural image classification problem with imageis assigned to multiple categories, in a highly irregular pattern making it very hard to recognize them and within each class all the images are different from one another. It is a prevalent problem in data analysis. However, identification of multi label instances is typically more lengthy or expensive to process and compare with single-label instances. The approach for used learning has been widely studied on reducing labeling effort for single-label problems, current research on multi-label learning remains in a preliminary state. In this paper we propose an approach for artificial neural network for multi label natural image classification.

Keywords

Artificial Neural Network, Feature Extraction, Discrete Wavelet Transform.

Cite this Article

Bharathi A and Deepankumar E, ”Multi Label Natural Image Classification Using Artificial Neural Network, ”International Journal of Advanced Computing and Communication Systems,pp. 011-014, March. 2016.

Copyright

© 2016 Bharathi A and Deepankumar E. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.