Detection of structural tampering in a digital image using Canny Edge Detector

The verification of authenticity of digital images has become a challenging problem due to easy availability of image editing software which can also be used to tamper the images. Content based digital signature is being used by researchers for detecting malicious tampering operations. In the proposed scheme, Canny Edge Detector has been used to extract the feature vectors of the image through edge detection. This information is then used to generate a hash vector for tampering detection and localization. The suitable mathematical index has been developed to quantify the amount of tampering using the hash generated from digital content of the image.