Results 11 to 20 of about 14,024 (303)

Legibility and Aesthetic Analysis of Handwriting [PDF]

2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), 2017
This paper deals with computer-based cognitive analysis towards legibility and aesthetics of a handwritten document. The legible text creates a human perception that the writing can be read effortlessly because of its orthographic clarity. The aesthetic property relates to the beautiful appearance of a handwritten document.
Chandranath Adak, Bidyut B. Chaudhuri, Michael Blumenstein   +2 more
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A Review of Multilingual Handwriting Analysis Techniques in Forensic Science

Journal of Forensic Science and Medicine
Handwriting analysis is a crucial forensic tool used for identifying individuals, authenticating documents, and detecting forgeries in both civil and criminal investigations.
Ganti Skanda Priya, Umema Ahemad, Neha Mundotiya   +2 more
doaj   +2 more sources

Analysis and Remediation of Handwriting difficulties

, 2020
Even with correct training, up to 25% of children never master handwriting like their peers. While research shows a correlation between handwriting difficulties and school failure, these difficulties can also impact children in their self esteem and behavioral development. Since the mastery of handwriting requires a lot of different skills, it is never
Asselborn, Thibault Lucien Christian
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Some Phenomena Affecting Handwriting Analysis

Perceptual and Motor Skills, 1965
In this investigation designed to explore some of the phenomenological aspects of the present status of handwriting analysis, as an expressive technique largely, the results indicate that the technique is of value although it needs considerable refinement.
Calvin J. Frederick
openaire   +3 more sources

The internal structure of handwriting proficiency in beginning writers. [PDF]

PLoS ONE
Fluent and automatized handwriting frees cognitive resources for more complex elements of writing (i.e., spelling or text generation) or even math tasks (i.e., operating) and is therefore a central objective in primary school years.
Lidia Truxius, Michelle N Maurer, Judith Sägesser Wyss, Claudia M Roebers   +3 more
doaj   +2 more sources

Recognition of handwriting from electromyography. [PDF]

PLoS ONE, 2009
Handwriting--one of the most important developments in human culture--is also a methodological tool in several scientific disciplines, most importantly handwriting recognition methods, graphology and medical diagnostics.
Michael Linderman, Mikhail A Lebedev, Joseph S Erlichman   +2 more
doaj   +1 more source

Handwriting Analysis on the Diaries of Rosamond Jacob

20th International Conference on Content-based Multimedia Indexing, 2023
Handwriting is an art form that most people learn at an early age. Each person's writing style is unique with small changes as we grow older and as our mood changes. Here we analyse handwritten text in a culturally significant personal diary. We compare changes in handwriting and relate this to the sentiment of the written material and to the topic of ...
Sharmistha S. Sawant, Saloni D. Thakare, Derek Greene, Gerardine Meaney, Alan F. Smeaton   +4 more
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On the Handwriting Tasks’ Analysis to Detect Fatigue [PDF]

Applied Sciences, 2020
Practical determination of physical recovery after intense exercise is a challenging topic that must include mechanical aspects as well as cognitive ones because most of physical sport activities, as well as professional activities (including brain–computer interface-operated systems), require good shape in both of them.
Manuel-Vicente Garnacho-Castaño, Marcos Faundez-Zanuy, Josep Lopez-Xarbau   +2 more
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NETWORK-BASED APPROACH TO KOREAN HANDWRITING ANALYSIS

International Journal of Pattern Recognition and Artificial Intelligence, 1998
It is well known that the stochastic approach using the HMM and dynamic programming-based search is particularly suited to the analysis of time series signals including on-line handwriting. The starting point of this research is a network of HMMs which models the whole set of characters.
Bong-Kee Sin, Jin Hyung Kim
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Comparison of CNN-Learned vs. Handcrafted Features for Detection of Parkinson's Disease Dysgraphia in a Multilingual Dataset

Frontiers in Neuroinformatics, 2022
Parkinson's disease dysgraphia (PDYS), one of the earliest signs of Parkinson's disease (PD), has been researched as a promising biomarker of PD and as the target of a noninvasive and inexpensive approach to monitoring the progress of the disease ...
Zoltan Galaz, Peter Drotar, Jiri Mekyska, Matej Gazda, Jan Mucha, Vojtech Zvoncak, Zdenek Smekal, Marcos Faundez-Zanuy, Reinel Castrillon, Reinel Castrillon, Juan Rafael Orozco-Arroyave, Juan Rafael Orozco-Arroyave, Steven Rapcsak, Tamas Kincses, Lubos Brabenec, Irena Rektorova, Irena Rektorova   +16 more
doaj   +1 more source