Embodiment and Self-Experience in Iranian Cinema: A phenomenological Study of Six Films from the 1980s to the 2010s by Erfan Naseri, Ehsan Aqababaee, Masoud Kianpur, Alireza Sayyad

“…The body and the self were recovered in the collective intersubjective frame and the nature of the technique was revealed in the forgery of the subjects. In the 2000s, the embodiment of the subjects was drawn into the realm of confrontation/transition; the embodied action of the woman passed through the absurd body of the man and left her in an abandoned world. …”
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Sottoscrizioni autografe nelle più antiche carte del monastero di S. Liberatore alla Maiella. Contributo alla storia del rapporto tra scrittura e alfabetismo in Abruzzo nel secolo... by Mariano Dell'Omo

“…</p> <p>The investigation concerning 33 documents edited – except no. 1 (forgery) –, dated between 935 and 1000, shows a total of 104 signatures in the original, and 7 in the copy. …”
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The History of Medical Ethics in India by Angel Prabakar

“…According to the Indian Medical Association (IMA), about 45 percent of those who practice medicine in India have no formal training.[25] IMA also reported that close to 700,000 doctors employed at some of the biggest hospitals, who are currently diagnosing, treating, and operating, have neither the training nor experience to do so. A large-scale forgery ring, broken up in 2011, revealed that buyers could pay as little as 100 US dollars for a medical degree from a non-existent college. …”
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Offline signature verification using a single master signature for building a signer's profile by Abulfatah, G. M., Ahma, M. N.

“…Using these comparison measures and thresholds devised for seen forgeries, an EER of 15% for seen forgeries and FARs of less than 3% and 1% for unseen and random forgeries respectively has been achieved.…”

Offline signature verification using a single master signature for building a signer’s profile by Abulfatah, G. M., Ahma, M. N.

“…Using these comparison measures and thresholds devised for seen forgeries, an EER of 15% for seen forgeries and FARs of less than 3% and 1% for unseen and random forgeries respectively has been achieved.…”

Offline Signature Verification Using the Discrete Radon Transform and a Hidden Markov Model by du Preez JA, Coetzer J, Herbst BM

“…Using a database of 924 signatures from 22 writers, our system achieves an equal error rate (EER) of 18% when only high-quality forgeries (skilled forgeries) are considered and an EER of 4.5% in the case of only casual forgeries. …”
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Optical measurements of paintings and the creation of an artwork database for authenticity. by Seonhee Hwang, Hyerin Song, Soon-Woo Cho, Chang Eun Kim, Chang-Seok Kim, Kyujung Kim

“…After measuring surface properties of paintings, we could observe the results from the genuine works and the forgeries have the distinctive characteristics. The forgeries could be distinguished maximally 76.5% with obtained RGB spectra by FORS and 100% by topographic analysis. …”
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Verifying on-line handwritten signature using neural networks approach by Siraj, Fadzilah, Zakaria, Azizi, Wan Ishak, Wan Hussain

“…Although the cashier sometimes can spot the forgeries, it is not cost effective to check the forgeries manually. …”
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Recent Advances in Passive Digital Image Security Forensics: A Brief Review by Xiang Lin, Jian-Hua Li, Shi-Lin Wang, Alan-Wee-Chung Liew, Feng Cheng, Xiao-Sa Huang

“…In order to detect digital image forgeries, various kinds of digital image forensics techniques have been proposed in the last decade. …”
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Investigation of craquelure patterns in oil paintings using precise 3D morphological analysis for art authentication. by Soojung Kim, Sang Min Park, Seongjin Bak, Gyeong Hun Kim, Chang-Seok Kim, Joonja Jun, Chang Eun Kim, Kyujung Kim

“…The forgeries were produced by an expert from original oil paintings with cracks that occur owing to paint drying, canvas aging, and physical damage. …”
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Natural sd-RCCA Secure Public-key Encryptions from Hybrid Paradigms by Yuan Chen, Qingkuan Dong, Yannan Li, Qiqi Lai, Zhedong Wang

“…It is known that the encrypt-then-authenticate paradigm gives an RCCA secure DEM when the underlying MAC is regular (but not strong) secure, where forgeries for old messages might be possible. By further requiring that the validity of such forgeries can be verified only secretly, sd-RCCA secure DEMs is obtained. …”
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Online Signature Verification Using Fourier Descriptors by Berrin Yanikoglu, Alisher Kholmatov

“…We also propose to use the pen-up duration information in identifying forgeries. The best results obtained on the SUSIG-Visual subcorpus and the MCYT-100 database are 6.2% and 12.1% error rate on skilled forgeries, respectively. …”
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Secure Hashing of Dynamic Hand Signatures Using Wavelet-Fourier Compression with BioPhasor Mixing and 2N Discretization by David C. L. Ngo, Andrew B. J. Teoh, Yip Wai Kuan

“…Our results show that the proposed method could produce stable and distinguishable bit strings with equal error rates (EERs) of 0% and 9.4% for random and skilled forgeries for stolen token (worst case) scenario, and 0% for both forgeries in the genuine token (optimal) scenario.…”
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TIMIT-TTS: A Text-to-Speech Dataset for Multimodal Synthetic Media Detection by Davide Salvi, Brian Hosler, Paolo Bestagini, Matthew C. Stamm, Stefano Tubaro

“…This is an important limitation when authenticating manipulated videos, because sophisticated forgeries may be difficult to detect without exploiting cross-modal inconsistencies (e.g., across the audio and visual tracks). …”
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DYNAMIC HANDWRITTEN SIGNATURE IDENTIFICATION USING SPIKING NEURAL NETWORK by Vladislav Kutsman, Oleh Kolesnytskyj

“…In the results of experimental studies of the software implementation of the proposed system, it’s EER = 3.9% was found when identifying skilled forgeries and EER = 0.17% when identifying random forgeries.…”
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A conceptual examination of the effect of problem representation on mindset and fraud risk assessment in the Nigerian deposit money banks by Odukoya, Olusoji Olumide, Samsudin, Rose Shamsiah, Popoola, Oluwatoyin Muse Johnson

“…The study’s main objective is to evolve a functional and effective mechanism for minimizing the incidence of fraud and forgeries within the Nigerian deposit money banks. …”
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A Comprehensive Review of Deep-Learning-Based Methods for Image Forensics by Ivan Castillo Camacho, Kai Wang

“…With this review it can be observed that even if image forgeries are becoming easy to create, there are several options to detect each kind of them. …”
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Artefacts of a fabricated past by Dunning, A

“…The Bodleian holds a number of objects that most observers would now describe as forgeries, but is every fake a lie?…”

Secure Hashing of Dynamic Hand Signatures Using Wavelet-Fourier Compression with BioPhasor Mixing and <inline-formula><graphic file="1687-6180-2007-059125-i1.gif"/></inline-formula... by Wai Kuan Yip, Teoh Andrew BJ, Ngo David CL

“…Our results show that the proposed method could produce stable and distinguishable bit strings with equal error rates (EERs) of <inline-formula><graphic file="1687-6180-2007-059125-i4.gif"/></inline-formula> and <inline-formula><graphic file="1687-6180-2007-059125-i5.gif"/></inline-formula> for random and skilled forgeries for stolen token (worst case) scenario, and <inline-formula><graphic file="1687-6180-2007-059125-i6.gif"/></inline-formula> for both forgeries in the genuine token (optimal) scenario.…”
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A Signature Recognition Technique With a Powerful Verification Mechanism Based on CNN and PCA by Gibrael Abosamra, Hadi Oqaibi

“…In this paper, we embed a signature verification mechanism in a previously introduced architecture for signature recognition to detect in-distribution and out-of-distribution random forgeries. In the previous architecture, a CNN was trained on the genuine user training dataset and then used as a feature extraction module. …”
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