Results 31 to 40 of about 13,696 (179)
Fast copy-move forgery detection algorithm based on group SIFT
Tongxin 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
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Offline signature verification using classifier combination of HOG and LBP features [PDF]
, 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
Image Forgery Detection via Forensic Similarity Graphs
Image Processing On Line, 2022 In the article 'Exposing Fake Images with Forensic Similarity Graphs', O. Mayer and M. C. Stamm introduce a novel image forgery detection method. The proposed method is built on a graph-based representation of images, where image patches are represented as the vertices of the graph, and the edge weights are assigned in order to reflect the forensic ...
Gardella, Marina, Musé, Pablo
openaire +2 more sources
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
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DRRU-Net: DCT-Coefficient-Learning RRU-Net for Detecting an Image-Splicing Forgery
Applied 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
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CoMoFoD #x2014; New database for copy-move forgery detection [PDF]
, 2013 Due to the availability of many sophisticated image processing tools, a digital image forgery is nowadays very often used. One of the common forgery method is a copy-move forgery, where part of an image is copied to another location in the same image ...
Grgic, M +3 more
core
RIFD-Net: A Robust Image Forgery Detection Network
IEEE AccessImage 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
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Advancements in CNN-Based Techniques for Robust Image Forgery Detection: Challenges and Future Directions [PDF]
E3S Web of ConferencesIn 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
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Copy-move forgery detection using binary discriminant features
Journal 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
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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
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