TEXTURE FEATURE ANALYSIS ALGORITHM for COPY-MOVE FORGERY DETECTION in IMAGE PROCESSING

A technique named forgery detection is used for detecting alterations from the image. This approach comprises several methods such as properties analysis, classification and so on. This research study relies on the recognition of copymove forgery. In copy-move forgery, copied part of image which moved to other place is detected and marked. In the earlier work, the PCA algorithm is implemented for detecting forgery. The PCA algorithm will mark the principle component analysis for incompatible pixels from the picture. The GLCM algorithm is applied with the PCA algorithm in this research study for detecting forgery. The GLCM algorithm is executed in MATLAB and outcomes are scrutinized on the basis of accuracy, precision and recall values. It is scrutinized that the proposed algorithm gives good performance in comparison with earlier algorithm.