Open AccessA Novel Technique for Copy Move Forgery Detection using Grey Level Co-occurrence Matrix
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.i1091.0789s19
Subject(s) - discrete cosine transform , computer science , artificial intelligence , feature extraction , pattern recognition (psychology) , feature (linguistics) , grey level , matrix (chemical analysis) , computer vision , image (mathematics) , chromatography , chemistry , philosophy , linguistics
In this paper we have studied the GLCM approach as an improvement over SWT-DCT method for feature extraction for CMFD. We have carefully studied the previously used methods and also studied the SWT-DCT method for improvement in features. We have proposed a method for the use of GLCM instead of SWT-DCT method for feature extraction which will improve the results of CMFD method used in the base work framework.