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Reseach Article

Image Hash using Neural Networks

by Veena Desai, D H Rao
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 63 - Number 22
Year of Publication: 2013
Authors: Veena Desai, D H Rao
10.5120/10765-5578

Veena Desai, D H Rao . Image Hash using Neural Networks. International Journal of Computer Applications. 63, 22 ( February 2013), 12-18. DOI=10.5120/10765-5578

@article{ 10.5120/10765-5578,
author = { Veena Desai, D H Rao },
title = { Image Hash using Neural Networks },
journal = { International Journal of Computer Applications },
issue_date = { February 2013 },
volume = { 63 },
number = { 22 },
month = { February },
year = { 2013 },
issn = { 0975-8887 },
pages = { 12-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume63/number22/10765-5578/ },
doi = { 10.5120/10765-5578 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:15:06.365679+05:30
%A Veena Desai
%A D H Rao
%T Image Hash using Neural Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 63
%N 22
%P 12-18
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Hash functions have been used to generate hash codes for data authentication. Traditionally these functions are generated using byte oriented algorithms like MD5 and others. In our paper we propose a new method of generating hash code for images using neural networks. Three sample images namely, fingerprint, lena and football image have been considered and their hash values calculated using two neural network structures namely, 1) structure without feedback 2) structure with feedback. The original images are then subjected to bit modification,Gaussian noise and rotational noise. The hash values are recalculated for the modified images. Sensitivity and hit collision are calculated and are found to be comparable with that of MD5 algorithm.

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Index Terms

Computer Science
Information Sciences

Keywords

Image hash neural hash hash sensitivity hit collision