Image-Forgery-Detection-Using-Passive-Approach

Image Forgery Detection Using Passive Approach In this project Image splicing forgery is detected through CNN classifier by ELA(Error Level Analysis) feature extraction. In this project, image splicing detection accuracy is 80%.