• Mrs. B. Hari Chandana
• Prof. T. Bhaskar Reddy

In the modern era of social media, the general public is exposed to a lot of visual imagery and stands to get easily affected by it. In such a world, detecting forged images is a prime concern. A forged image might cause riots, wars, change election results, or malign an individual forever. In this paper, a method is proposed to identify images in which tampering or forgery has occurred. Feature sets are extracted from a standard database and SVM classifier is used for classification purpose. The features are extracted using sub-pixel edge detection and GLCM features. The edge image is converted into feature vector using HOG descriptors.

Forgery Detection, SVM, Sub-pixel Detection, Glcm features

"A State of Method for detecting forged images based on SVM Classifier", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.68-76, January-2019, Available :http://www.jetir.org/papers/JETIR1901B11.pdf

"A State of Method for detecting forged images based on SVM Classifier", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp68-76, January-2019, Available at : http://www.jetir.org/papers/JETIR1901B11.pdf