Early Diagnosis of Dysgraphia in Children Based on Handwriting Image Using AI
IEEE AccessDysgraphia is a neurological learning disability that hampers handwriting skills in children and often remains undiagnosed due to limited awareness and the absence of scalable diagnostic tools.
K. Namitha +4 more
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Unravelling handwriting images: deep neural models for dyslexia, dysgraphia, and other learning disabilities detections and classifications: a literature review [PDF]
PeerJ Computer ScienceBackground As a crucial cognitive and motor function, handwriting can reveal dyslexia, dysgraphia, and other neurodevelopmental conditions. With the emergence of AI, deep learning (DL) models can analyze handwriting patterns for early identification and ...
Ahmad Hamed Al Abadleh +3 more
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Damaging Similarities in Highly Skilled Signature Simulations - Their Detection and Authorship
Arab Journal of Forensic Sciences & Forensic Medicine, 2020 Questioned document examination is a highly specialized and challenging field of study, because of the variety and complexity of problems that are referred to document examiners. Detection and identification of practiced simulated forgeries is an area of
Mahesh C. Joshi +2 more
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Sparse Radial Sampling LBP for Writer Identification
, 2015 In this paper we present the use of Sparse Radial Sampling Local Binary Patterns, a variant of Local Binary Patterns (LBP) for text-as-texture classification.
Bagdanov, Andrew D. +3 more
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Handwriting identification and verification using artificial intelligence-assisted textural features. [PDF]
Sci Rep, 2023 Zhao H, Li H.
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Identifying Two Parts of the 1635 Ruthenian Manuscript of the Didactic Gospel
Slavistica Vilnensis, 2019 The article is devoted to the identification of two storage units in the Lviv National Vasyl Stefanyk Scientific Library of Ukraine, which are parts of the once-single Ruthenian Didactic Gospel and, thus, originate from the territory of the Polish ...
Denis Kravchuk
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On-line Handwritten Character Recognition: An Implementation of Counterpropagation Neural Net [PDF]
, 2005 On-line handwritten scripts are usually dealt with pen tip traces from pen-down to pen-up positions. Time evaluation of the pen coordinates is also considered along with trajectory information.
Mohamad, Dzulkifli +2 more
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JOIV: International Journal on Informatics VisualizationOffline handwriting writer identification has significant implications for forensic investigations and biometric authentication. Handwriting, as a distinctive biometric trait, provides insights into individual identity.
Wirmanto Suteddy +2 more
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Behavior Factors in Handwriting Identification
The Journal of Criminal Law, Criminology, and Police Science, 1965 Dr. med. A. Naftali is a lecturer in criminalistics at Faculty of Law, The Hebrew University of Jerusalem, Israel and also a practicing physician in Jerusalem. Dr. Naftali's medical studies were carried on in Germany and Italy. They were interrupted in 1934 because of political developments in Europe and only completed in 1959.
openaire +2 more sources
Model of PC User Identification System by His Keyboard Handwriting
Безопасность информационных технологий, 2013 The model of a keyboard handwriting identification system is represented in the paper. It is proposed for post authentication control.
Andrey Pavlovich Nikitin
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