Signatures as an object of autoforgery (self-forgery) by Anna Koziczak

“…The more characteristic the latter are, the more their consistency in the questioned and comparative material proves self-forgery, regardless of the differences in the primary features. …”
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Practical Forgeries and Distinguishers against PAES by Jean, Jérémy, Nikolic, Ivica, Sasaki, Yu, Wang, Lei

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Forgery detection using Krawtchouk moments by Alenezi, Ahmad M., Sapar, Siti Hasana, Rakhimov, I. S.

“…In this paper, we propose a method for processing image forgery detection using the Krawtchouk moments. The proposed method detects copy move forged regions of images by using Krawtchouk moments. …”

DETECTION OF COPY-MOVE FORGERY IN DIGITAL IMAGES / by Somayeh Sadeghi, 1982-, author, Azizah Abd. Manaf, Prof.Dr., supervisor, Fakulti Sains Komputer dan Sistem Maklumat

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Anti-Forgery Document Detection System (FDDS) by Rassem, Taha H., Makbol, Nasrin M., Alsewari, Abdulrahman A., Mohammed, Mohammed Falah, Kamal Z., Zamli

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Establishing the Fact of Document Forgery: Modern Realities by T. F. Moiseeva

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The detection of copy move forgery image methodologies by Shahad Lateef abdulwahid

“…This study examines many sorts of digital image forgeries as well as the detection of forgery tools. …”
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David A. Scott, Authenticity, Restoration, Forgery by Muriel Verbeeck-Boutin

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Forgery attacks on several certificateless signature schemes by WANG Jing, LI Zumeng

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Forgery Detection and Value Identification of Euro Banknotes by Sebastiano Battiato, Giovanni Maria Farinella, Giuseppe Claudio Guarnera, Arcangelo Bruna

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Exposing Image Forgery by Detecting Consistency of Shadow by Yongzhen Ke, Fan Qin, Weidong Min, Guiling Zhang

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Forgery attacks on several certificateless signature schemes by Jing WANG, Zumeng LI

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Image Inpainting Forgery Detection: A Review by Adrian-Alin Barglazan, Remus Brad, Constantin Constantinescu

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A Method For Detect Forgery from Images by Hanaa Mohsin Ahmed, Sabaa Rakan Salim

“…Where the Verification system used non-blind passive image forensic, and that it has been achieved by using fuzzy gradient based image reconstruction, which is able to detect all types of forgery (Splicing, Image Retouching, Geometrical Transformation, Copy Move Attack, other type) and also able to compute forgery ratio as percentage.This methodology has its application in a context where the source image is available.The experimental results show that the algorithm can effectively locate the tampered area in multi block size 4X4 of any type, and using fuzzy process is obtained a good result to reduce time consuming for solving image reconstruction and also enhancement reconstruction image .…”
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Criminal Liability for Forgery of Print in Polish Legislation by Rybak-Karkosz Olivia

Subjects: “…art forgery…”
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Detecting Digital Forgeries Using Bispectral Analysis by Farid, Hany

“…We review the basics of polyspectral analysis, show how and why these tools can be used in detecting forgeries and show their effectiveness in analyzing human speech.…”
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Deep learning-based video forgery detection by Cao, Xinyi

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Deep learning-based image forgery detection by Lu, Ye

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Exploring differential-based distinguishers and forgeries for ascon by Gerault, David, Peyrin, Thomas, Tan, Quan Quan

“…Leveraging again our tool, we have generated forgery attacks against both reduced-rounds Ascon-128 and Ascon-128A, improving over the best reported results at the time of writing. …”
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Towards efficient and effective face forgery detection by Peng, Weixing

“…Rapid progress in Face Forgery algorithms is becoming an increasingly relevant threat in the modern-day. …”
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