Deep feature extraction for document forgery detection with convolutional autoencoders

G Jaiswal, A Sharma, SK Yadav - Computers and Electrical Engineering, 2022 - Elsevier
Context Document forgery is a significant problem for ages due to paper-based documents'
pervasive use. Classical destructive approaches for this problem, such as chromatography …

IFChatbot: Convolutional Neural Network based chatbot for Image Forgery Detection and Localization

N Manna, S Kumar, R Kakar, S Nayak… - 2022 IEEE India …, 2022 - ieeexplore.ieee.org
With the quick adoption of the internet, social media, and the widespread availability of
unsophisticated image manipulation tools, the adverse consequences of image forgery are …

[PDF][PDF] An overview of copy move forgery detection approaches

KS Gayathri, PS Deepthi - Computer Science & Engineering …, 2022 - academia.edu
Images have greater expressive power than any other forms of documents. With the Internet,
images are widespread in several applications. But the availability of efficient open-source …

Detection of Image Tempering: Conventional and Deep Learning-based Techniques

HD Khallaf, AH Alasadi - Journal of Education for Pure Science …, 2022 - jceps.utq.edu.iq
Journal of Education for Pure Science- Universityof Thi-Qar Detection of Image Tempering:
Conventional and Deep Learning-based T Page 1 Journal of Education for Pure Science …

Hyperspectral Imaging in Document Forgery

S Srivastava, V Rastogi, G Jaiswal… - Proceedings of Data …, 2022 - Springer
Document forgery is a crucial problem for this day and age due to the rampant utilisation of
paper-based documents. The best type of technology must be utilised to the same …

Derin öğrenme yöntemleri ile görüntü sahteciliği tespiti

NE Özmen - 2022 - acikerisim.nku.edu.tr
Günümüzde her geçen gün kullanımı artan sosyal medya ve internet sayesinde neredeyse
çekilen her fotoğraf internet ortamına yüklenmektedir. Bu sebeple görüntü elde etmek çok …