CFP last date
20 June 2024
Reseach Article

Object Recognition using Wavelet and Neural Network Approach

Published on December 2014 by Pankaj A.bhoite, Subhash Kumar Lodhi, Sangita Solanki, Sagar S.bhavsar
National Conference on Advances in Communication and Computing
Foundation of Computer Science USA
NCACC2014 - Number 2
December 2014
Authors: Pankaj A.bhoite, Subhash Kumar Lodhi, Sangita Solanki, Sagar S.bhavsar
44f3879d-423e-4173-b0a6-64cb2765386c

Pankaj A.bhoite, Subhash Kumar Lodhi, Sangita Solanki, Sagar S.bhavsar . Object Recognition using Wavelet and Neural Network Approach. National Conference on Advances in Communication and Computing. NCACC2014, 2 (December 2014), 6-8.

@article{
author = { Pankaj A.bhoite, Subhash Kumar Lodhi, Sangita Solanki, Sagar S.bhavsar },
title = { Object Recognition using Wavelet and Neural Network Approach },
journal = { National Conference on Advances in Communication and Computing },
issue_date = { December 2014 },
volume = { NCACC2014 },
number = { 2 },
month = { December },
year = { 2014 },
issn = 0975-8887,
pages = { 6-8 },
numpages = 3,
url = { /proceedings/ncacc2014/number2/19125-2009/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Advances in Communication and Computing
%A Pankaj A.bhoite
%A Subhash Kumar Lodhi
%A Sangita Solanki
%A Sagar S.bhavsar
%T Object Recognition using Wavelet and Neural Network Approach
%J National Conference on Advances in Communication and Computing
%@ 0975-8887
%V NCACC2014
%N 2
%P 6-8
%D 2014
%I International Journal of Computer Applications
Abstract

This paper represent a method for recognition any object moving in space with the help of wavelet transform and neural network. in this a small wavelet pulse is send towards the target moving in the sky ,this pulse strike on the target and reflect back to the earth, it having necessary information regarding target. This set of information then trained in neural network to identify what the object exactly.

References
  1. F. Benedetto, IEEE, Member, F. Riganti Fulginei, A. Laudani, IEEE, Member, G. Albanese Automatic Aircraft Target Recognition by ISAR Image Processing based on Neural Classifier 2012, (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 3, No. 8, 2012.
  2. Janette C. Briones, Benjamin Flores and Raul Cruz-Cano Multi-Mode Radar Target Detection and Recognition Using Neural Networks,vol 9 Aug 2012.
  3. Target Classification: An application of Artificial Neural Network in IntelligentTransport System, Priyabrata Karmakar, Bappaditya Roy, Tirthankar Paul3, Shreema Manna, Volume 2, Issue 6, June 2012.
  4. Ajay Kumar Singh, Shamik Tiwari, V. P. Shukla, Wavelet based Multi Class image classification using Neural Network, International Journal of Computer Applications (0975 – 8887), Volume 37– No. 4, January 2012.
  5. Daniel Madan Raja S, Hybrid Feature Based War Scene Classification using ANN and SVM:A Comparative Study, International Journal of Engineering Science and Technology (IJEST), ISSN : 0975-5462, Vol. 3 No. 5 May 2011.
  6. S. Daniel Madan Raja, Dr. A. Shanmugam, Wavelet Features Based War Scene Classification using Artificial Neural Networks, (IJCSE) International Journal on Computer Science and Engineering, Vol. 02, No. 09, 2010, 3033-3037.
  7. N. K. Ibrahim, R. S. A. Raja Abdullah and M. I. Saripan Artificial Neural Network Approach in Radar Target Classification 2009, Journal of Computer Science 5 (1): 23-32, ISSN 1549-3636.
  8. Mehdi Lotfi, Ali Solimani, Aras Dargazany, Hooman Afzal, Mojtaba Bandarabadi, Combining Wavelet Transforms and Neural Networks for Image Classification, March 15-17, 2009, 978-1-4244-3325-4/09/$25. 00 ©2009 IEEE
Index Terms

Computer Science
Information Sciences

Keywords

Neural Network Wavelet Transform Radar