Results 61 to 70 of about 27,957 (184)

Optical Font Recognition in Smartphone-Captured Images, and its Applicability for ID Forgery Detection

, 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, Bertrand, Bertrand, bin Kwon, Wang   +4 more
core   +1 more source

Image Forgery Localization Based on Multi-Scale Convolutional Neural Networks

, 2018
In this paper, we propose to utilize Convolutional Neural Networks (CNNs) and the segmentation-based multi-scale analysis to locate tampered areas in digital images.
Cao, Yun, Guan, Qingxiao, Liu, Yaqi, Zhao, Xianfeng   +3 more
core   +1 more source

Copy-move forgery detection for image forensics using the superpixel segmentation and the Helmert transformation

EURASIP Journal on Image and Video Processing, 2019
The increasing popularity of the internet suggests that digital multimedia has become easier to transmit and acquire more rapidly. This also means that this multimedia has become more susceptible to tampering through forgery.
Hui-Yu Huang, Ai-Jhen Ciou
doaj   +1 more source

Hybrid LSTM and Encoder-Decoder Architecture for Detection of Image Forgeries

, 2019
With advanced image journaling tools, one can easily alter the semantic meaning of an image by exploiting certain manipulation techniques such as copy-clone, object splicing, and removal, which mislead the viewers.
Bappy, Jawadul H., Manjunath, B. S., Nataraj, Lakshmanan, Roy-Chowdhury, Amit K., Simons, Cody   +4 more
core   +1 more source

An Audio Copy-Move Forgery Localization Model by CNN-Based Spectral Analysis

Applied Sciences
In audio copy-move forgery forensics, existing traditional methods typically first segment audio into voiced and silent segments, then compute the similarity between voiced segments to detect and locate forged segments.
Wei Zhao, Yujin Zhang, Yongqi Wang, Shiwen Zhang   +3 more
doaj   +1 more source

Boosting Image Forgery Detection using Resampling Features and Copy-move analysis

, 2018
Realistic image forgeries involve a combination of splicing, resampling, cloning, region removal and other methods. While resampling detection algorithms are effective in detecting splicing and resampling, copy-move detection algorithms excel in ...
Bappy, Jawadul H., Bunk, Jason, Chandrasekaran, Shivkumar, Flenner, Arjuna, Manjunath, B. S., Mohammed, Tajuddin Manhar, Nataraj, Lakshmanan, Peterson, Lawrence, Roy-Chowdhury, Amit K.   +8 more
core  

Autoencoder with recurrent neural networks for video forgery detection

, 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, D'Avino, Dario, Poggi, Giovanni, Verdoliva, Luisa   +3 more
core   +1 more source

Fuzzy Based Image Forensic Tool for Detection and Classification of Image Cloning

International Journal of Computational Intelligence Systems, 2016
With the easy availability of image processing and image editing tools, the cases of forgery have been raised in the last few years. Now days it is very difficult for a viewer and judicial authorities to verify authenticate a digital image.
Mohammad Farukh Hashmi, Avinash G. Keskar, Vikas Yadav   +2 more
doaj   +1 more source

Distinguishing Computer-generated Graphics from Natural Images Based on Sensor Pattern Noise and Deep Learning

, 2018
Computer-generated graphics (CGs) are images generated by computer software. The~rapid development of computer graphics technologies has made it easier to generate photorealistic computer graphics, and these graphics are quite difficult to distinguish ...
Hu, Weitong, Shi, Yun-Qing, Wu, Ting, Yao, Ye, Zhang, Wei   +4 more
core   +2 more sources

Recasting Residual-based Local Descriptors as Convolutional Neural Networks: an Application to Image Forgery Detection

, 2017
Local descriptors based on the image noise residual have proven extremely effective for a number of forensic applications, like forgery detection and localization.
Cozzolino, Davide, Poggi, Giovanni, Verdoliva, Luisa   +2 more
core   +1 more source