Results 21 to 30 of about 23,633 (272)

Image forgery detection review

open access: yes2021 International Conference on Information Systems and Advanced Technologies (ICISAT), 2021
With the wide spread of digital document use in administrations, fabrication and use of forged documents have become a serious problem. This paper presents a study and classification of the most important works on image and document forgery detection.
Benhamza, Hiba   +2 more
openaire   +2 more sources

Blind Detection of Copy-Move Forgery in Digital Audio Forensics

open access: yesIEEE Access, 2017
Although copy-move forgery is one of the most common fabrication techniques, blind detection of such tampering in digital audio is mostly unexplored. Unlike active techniques, blind forgery detection is challenging, because it does not embed a watermark ...
Muhammad Imran   +3 more
doaj   +1 more source

An Enhanced Dynamic Signature Verification using the X and Y Histogram Features

open access: yesInfotekmesin: Media Komunikasi Ilmiah Politeknik Cilacap, 2021
Dynamic signature verification by using histogram features is a well-known signature forgery detection technique due to its high performance. However, this technique is often limited to angular histograms derived from vectors containing two adjacent ...
Aris Tjahyanto   +2 more
doaj   +1 more source

Fusion of block and keypoints based approaches for effective copy-move image forgery detection [PDF]

open access: yes, 2016
Keypoint-based and block-based methods are two main categories of techniques for detecting copy-move forged images, one of the most common digital image forgery schemes. In general, block-based methods suffer from high computational cost due to the large
Liu, Yanan   +5 more
core   +1 more source

Scene Segmentation for Interframe Forgery Identification

open access: yesJournal of ICT Research and Applications, 2023
A common type of video forgery is inter-frame forgery, which occurs in the temporal domain, such as frame duplication, frame insertion, and frame deletion. Some existing methods are not effective to detect forgeries in static scenes.
Andriani   +2 more
doaj   +1 more source

Copy-Move Forgery Detection and Localization Using a Generative Adversarial Network and Convolutional Neural-Network

open access: yesInformation, 2019
The problem of forged images has become a global phenomenon that is spreading mainly through social media. New technologies have provided both the means and the support for this phenomenon, but they are also enabling a targeted response to overcome it ...
Younis Abdalla   +2 more
doaj   +1 more source

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

AN OPTIMIZED CONVOLUTION NEURAL NETWORK BASED INTER-FRAME FORGERY DETECTION MODEL - A MULTI-FEATURE EXTRACTION FRAMEWORK

open access: yesICTACT Journal on Image and Video Processing, 2021
Surveillance systems are becoming pervasive throughout our daily lives, and surveillance recordings are being used as the essential evidence in criminal investigations. The authenticity of surveillance videos is tough to confirm.
Jatin Patel, Ravi Sheth
doaj   +1 more source

A new video forgery detection approach based on forgery line

open access: yesTURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, 2017
In recent years, we have continually encountered multimedia files in daily life, as evidence in courts, medical records in hospitals, etc. Many multimedia-editing software tools have been developed in parallel to the widespread usage of multimedia files.
Bozkurt, Isilay   +2 more
openaire   +2 more sources

Autoencoder with recurrent neural networks for video forgery detection

open access: yes, 2017
Video forgery detection is becoming an important issue in recent years, because modern editing software provide powerful and easy-to-use tools to manipulate videos.
Cozzolino, Davide   +3 more
core   +1 more source

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