Gray Level Co-occurrence Matrix with Binary Robust Invariant Scalable Keypoints for Detecting Copy Move Forgeries

With advancement in technology, especially imaging field, digital image forgery has increased a lot nowadays. In order to counter this problem, many detection techniques have been developed from time time. For rapid and accurate of forged image, novel hybrid technique is used research work that implements Gray Level Co-occurrence Matrix (GLCM) along with Binary Robust Invariant Scalable Keypoints (BRISK). GLCM significantly extracts key attributes an efficiently which will help increase the accuracy. BRISK known be one 3 fastest modes execution speed GLCM. even processes scaled rotated images. Then Principal Component Analysis (PCA) algorithm applied final phase remove any unrequited element scene highlights concerned area.