Results 31 to 40 of about 13,849 (178)

Fast copy-move forgery detection algorithm based on group SIFT

open access: yesTongxin xuebao, 2020
Aiming at the high computational complexity of the existing copy-move image forgery detection algorithm,a copy-move forgery detection algorithm based on group scale-invariant feature transform (SIFT) was proposed.Firstly,the simple linear iterative ...
Bin XIAO   +3 more
doaj   +2 more sources

An Evaluation of Popular Copy-Move Forgery Detection Approaches

open access: yes, 2012
A copy-move forgery is created by copying and pasting content within the same image, and potentially post-processing it. In recent years, the detection of copy-move forgeries has become one of the most actively researched topics in blind image forensics.
Angelopoulou, Elli   +4 more
core   +1 more source

DRRU-Net: DCT-Coefficient-Learning RRU-Net for Detecting an Image-Splicing Forgery

open access: yesApplied Sciences, 2023
In this paper, we propose a lightweight deep learning network (DRRU-Net) for image-splicing forgery detection. DRRU-Net is an architecture that combines RRU-Net for learning the visual content of images and image acquisition artifacts, and a JPEG ...
Youngmin Seo, Joongjin Kook
doaj   +1 more source

Region Duplication Forgery Detection Technique Based on SURF and HAC

open access: yesThe 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]

open access: yes, 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  

Offline signature verification using classifier combination of HOG and LBP features [PDF]

open access: yes, 2011
We present an offline signature verification system based on a signature’s local histogram features. The signature is divided into zones using both the Cartesian and polar coordinate systems and two different histogram features are calculated for each ...
Kholmatov, Alisher Anatolyevich   +6 more
core   +2 more sources

RIFD-Net: A Robust Image Forgery Detection Network

open access: yesIEEE Access
Image splicing forensic technologies reveal manipulations that add or remove objects from images. However, the performance of existing splicing forensic methods is fatally degraded when detecting noisy images, as they often ignore the influence of image ...
Wuyang Shan   +5 more
doaj   +1 more source

Advancements in CNN-Based Techniques for Robust Image Forgery Detection: Challenges and Future Directions [PDF]

open access: yesE3S Web of Conferences
In response to the rise of manipulated images online, which are often obscured by compression and resizing, effective forgery detection systems have become essential.
C Raghavendra   +3 more
doaj   +1 more source

Copy-move forgery detection using binary discriminant features

open access: yesJournal of King Saud University: Computer and Information Sciences, 2022
Digital images have numerous applications in various fields such as cyber forensics, courts, newspapers, magazines, medical field and many more. Therefore, the trustfulness of the contents of an image is very essential. Image manipulation has become very
Priya Mariam Raju, Madhu S. Nair
doaj   +1 more source

Image Forgery Detection Techniques: Latest Trends and Key Challenges

open access: yesIEEE Access
The 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

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