Results 41 to 50 of about 32,604 (141)
, 2018 In this paper, we consider the problem of detecting counterfeit identity documents in images captured with smartphones. As the number of documents contain special fonts, we study the applicability of convolutional neural networks (CNNs) for detection of ...
Berenguel +4 more
core +1 more source
Image Forgery Detection Techniques: Latest Trends and Key Challenges
IEEE AccessThe improvement and accessibility of high-resolution cameras have significantly increased image capturing by various media. Different editing tools are available that are frequently used to improve image quality, resulting in the alteration of images. So,
Poulomi Deb +3 more
doaj +1 more source
Optimization of a Pre-Trained AlexNet Model for Detecting and Localizing Image Forgeries
Information, 2020 With the advance of many image manipulation tools, carrying out image forgery and concealing the forgery is becoming easier. In this paper, the convolution neural network (CNN) innovation for image forgery detection and localization is discussed. A novel
Soad Samir +3 more
doaj +1 more source
Multibranch Collaboration and Segmented Training Network for Image Forgery Comprehensive Detection
IET BiometricsWith the rise of sophisticated image manipulation techniques, image detection forgeries have become increasingly challenging. This paper presents a novel deep learning framework, the multibranch collaboration and segmented training network (MBC-STN), for
Jing Chang +3 more
doaj +1 more source
Iranian Journal of Electrical and Electronic Engineering, 2020 Increased popularity of digital media and image editing software has led to the spread of multimedia content forgery for various purposes. Undoubtedly, law and forensic medicine experts require trustworthy and non-forged images to enforce rights.
A. Fattahi, S. Emadi
doaj
Region Duplication Forgery Detection Technique Based on SURF and HAC
The Scientific World Journal, 2013 Region duplication forgery detection is a special type of forgery detection approach and widely used research topic under digital image forensics. In copy move forgery, a specific area is copied and then pasted into any other region of the image.
Parul Mishra +3 more
doaj +1 more source
Detection of Region Duplication in Digital Images:A Digital Forensic Approach [PDF]
, 2015 Digital images are easy to manipulate and forge due to availability of powerful image processing and editing software. Region duplication is becoming more and more popular in image manipulation where part of an image is pasted to another location to ...
Ahemad, Talib, Wadhwa, Jatin
core
UTSig: A Persian Offline Signature Dataset
, 2016 The pivotal role of datasets in signature verification systems motivates researchers to collect signature samples. Distinct characteristics of Persian signature demands for richer and culture-dependent offline signature datasets.
Araabi, Babak N. +2 more
core +1 more source
CNN-Keypoint Based Two-Stage Hybrid Approach for Copy-Move Forgery Detection
IEEE AccessAuthenticating digital images poses a significant challenge due to the widespread use of image forgery techniques, including copy-move forgery. Copy-move forgery involves copying and pasting portions of an image within the same image while applying ...
Anjali Diwan, Anil K. Roy
doaj +1 more source
An Improved Statistic for the Pooled Triangle Test against PRNU-Copy Attack
, 2018 We propose a new statistic to improve the pooled version of the triangle test used to combat the fingerprint-copy counter-forensic attack against PRNU-based camera identification [1].
Barni, Mauro +2 more
core +1 more source