Copy-Move Tampering Detection using SURF

In the present world, images and videos are the main carrier of information. So that, they are usually provided as essential evidence in many different areas like ranging from mainstream media, journalism and scientific publication, criminal investigation and surveillance system, etc. However, this source of information can be easily tampered by using open source of powerful computer applications like Photoshop, Magisto Video Editor, Cyber Link Director Suite, Corel Video Studio Pro, etc. For making tampering more robust, various transformation like scaling, rotation, lighting changes, blurring etc. applied. Copy-move image forgery is frequently used to tamper the image. In copy-move forgery, a specific area is copied and then pasted into any region of the image. An efficient approach for detecting copy-move tampering is to use visual feature such as Speed Up Robust Features (SURF). This paper presents a tempering detection method based on SURF, which detects the key points and their corresponding features. From the key points, grouping is performed on the matched key points, which shows the copied and pasted regions.