Year: 2016
Type: article
Abstract: The features Gray Level Co-occurrence Matrix (GLCM) are mostly explored in Face Recognition and CBIR.GLCM technique is explored here for Copy-Move Forgery Detection.GLCMs are extracted from all the images in the database and statistics such as contrast, correlation, homogeneity and energy are derived.These statistics form the feature vector.Support Vector Machine (SVM) is trained on all these features and the authenticity of the image is decided by SVM classifier.The proposed work is evaluated on CoMoFoD database, on a whole 1200 forged and processed images are tested.The performance analysis of the present work is evaluated with the recent methods.
Institution: Jawaharlal Nehru Technological University, Kakinada
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W2509577458