---------------------------------------------------------------------***--------------------------------------------------------------------Abstract In the today world digital images are popular sources of information. Digital images can be easily modified using powerful image editing software. The process of creating flexible or emulating documents with the aim of altering the details to earn ...

Batch signature verification detects whether a batch of signatures contains any forgeries. Batch forgery identification pinpoints the location of each forgery. Existing forgery-identification schemes vary in their strategies for selecting subbatches to verify (individual checks, binary search, combinatorial designs, etc.) and in their strategies for verifying subbatches. This paper exploits syn...

Image manipulation is not a new trend and it exists from the time when photography was innovated. In the recent years, many forgery detection methods and techniques are proposed. Photo image forgery may include Copy-Move Forgery or Cloning and Copy-Create Image Forgery. There are few methods for forgery detection. Though many image forgery detections previously exist, with the change in algorit...

Currently, with the popularity of sophisticated image editing tools like Photoshop, it is becoming very difficult to discriminate between an authentic image and its manipulated version, which poses a serious social problem of debasing the credibility of photographic images as definite records of events. Passive image forgery detection technology, as one main branch of image forensics, has been ...

A novel copy-move forgery detection scheme using adaptive over-segmentation and SURF is proposed in this paper. The proposed scheme integrates both block-based and keypoint-based forgery detection methods. First, the proposed Adaptive Over-Segmentation algorithm segments the host image into non-overlapping and irregular blocks adaptively. Then, the feature points are extracted from each block a...

 Abstract—A novel copy-move forgery detection scheme using adaptive over-segmentation and feature point matching is proposed in this paper. The proposed scheme integrates both block-based and keypoint-based forgery detection methods. First, the proposed Adaptive Over-Segmentation algorithm segments the host image into non-overlapping and irregular blocks adaptively. Then, the feature points ar...

Image forgery means manipulation of digital image to conceal meaningful information of the image. The detection of forged image is driven by the need of authenticity and to maintain integrity of the image. A copy–move forgery detection theme victimization adaptive over segmentation and have purpose feature matching is proposed. The proposed scheme integrates both block-based and key point-based...

With the advancement of technology and easy availability of imaging tools, it’s not difficult now a days to manipulate digital images to hide or create misleading images. Image forgery detection is currently one of the hot research fields of image processing. Many research papers have been published during recent years. Image forgery has already been categorized. Copy-Move forgery is one of the...

Copy-move forgery is one of the simple and effective operations to create forged images. Recently, techniques based on singular value decomposition (SVD) are widely used to detect copy-move forgery (CMF). Some approaches based on SVD are most acceptable to detect copy-move forgery but some copy-move forgery detection approaches can not produce satisfactory detection results. Sometimes these app...