DocumentCode :
3427898
Title :
Copy move image forgery detection method using steerable pyramid transform and texture descriptor
Author :
Muhammad, Ghulam ; Al-Hammadi, Muneer H. ; Hussain, Mutawarra ; Mirza, Anwar M. ; Bebis, G.
Author_Institution :
Dept. of Comput. Eng., King Saud Univ., Riyadh, Saudi Arabia
fYear :
2013
fDate :
1-4 July 2013
Firstpage :
1586
Lastpage :
1592
Abstract :
In this paper, we propose a passive copy move image forgery detection method using a steerable pyramid transform (SPT) and Local Binary Pattern (LBP). SPT is applied on a grayscale version or one of the YCbCr channels of an image. LBP is applied to describe the texture in each SPT subband. Then the support vector machine (SVM) uses the LBP feature extracted from SPT sub-bands in classifying images into tampered or authentic images. Experimental results show an excellent effectiveness for the proposed method in some combinations of SPT sub-band.
Keywords :
data compression; feature extraction; image classification; image coding; image colour analysis; image texture; support vector machines; wavelet transforms; LBP feature extraction; SPT subband; SVM; YCbCr channels; authentic images; chrominance component; color image; copy move image forgery detection method; grayscale version; image classification; local binary pattern; passive copy move image forgery detection method; steerable pyramid transform; support vector machine; tampered images; texture descriptor; Accuracy; Feature extraction; Forgery; Gray-scale; Support vector machines; Transforms; Vectors; Steerable pyramid transform; chrominance; copy move image forgery; local binary pattern; luminance; support vector machine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
EUROCON, 2013 IEEE
Conference_Location :
Zagreb
Print_ISBN :
978-1-4673-2230-0
Type :
conf
DOI :
10.1109/EUROCON.2013.6625188
Filename :
6625188
Link To Document :
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