Image Authentication by Analyzing and Classifying Texture with Linear Regression model based on Wavelet Transform
Minal Birewar, Pooja Thakre · Electrical and Electronic Engineering · 2013
Wavelet based preprocessing is a very successful method which is gaining importance in day to day life. It is becoming popular because of its easy acquisition and reliability. This paper proposes an image Authentication system by texture analysis with linear regression model based on Wavelet transform. Texture is an important feature used extremely in various image processing problems.This paper has been motivated fro m the fact that there exists a distinctive correlation between texture. The linear regression model has been used for analyzing the correlation. In contrast, PSWT (pyramid structure wavelet transform), TSWT (tree structure wavelet Transform) and Gabor Transform do not provide such kind of correlation. Images have been analyzed by calculating their energy up to the least possible value. Experimental results shows the value of images which has been used for the authentication purpose.