Results 261 to 270 of about 48,373,504 (334)
Some of the next articles are maybe not open access.
arXiv.org, 2023
Background and objectives: Dynamic handwriting analysis, due to its non-invasive and readily accessible nature, has recently emerged as a vital adjunctive method for the early diagnosis of Parkinson's disease.
Xuechao Wang +6 more
semanticscholar +1 more source
Background and objectives: Dynamic handwriting analysis, due to its non-invasive and readily accessible nature, has recently emerged as a vital adjunctive method for the early diagnosis of Parkinson's disease.
Xuechao Wang +6 more
semanticscholar +1 more source
Detection of Parkinson's Disease using Machine Learning Algorithms and Handwriting Analysis
Journal of data mining and management, 2023Parkinson's Disease is a progressive neurodegenerative disorder of movement that affects your ability to control movement. This disease can prove fatal if not detected at an earlier stage.
N. Ranjan, G. Mate, M. Bembde
semanticscholar +1 more source
Artif. Intell. Medicine, 2021
In the last decades, early disease identification through non-invasive and automatic methodologies has gathered increasing interest from the scientific community.
Antonio Parziale +3 more
semanticscholar +1 more source
In the last decades, early disease identification through non-invasive and automatic methodologies has gathered increasing interest from the scientific community.
Antonio Parziale +3 more
semanticscholar +1 more source
Handwriting Analysis for Personality Trait Features Identification using CNN
2022 International Conference on Data Science and Its Applications (ICoDSA), 2022Handwriting analysis is an approach to get information through the handwriting. It extremely useful information, for instance in personality traits identification. The information came from the feature extracted from the handwriting.
Derry Alamsyah +3 more
semanticscholar +1 more source
Synthesis for handwriting analysis
Pattern Recognition Letters, 2005Recently a large number of studies has been published in the area of Fractal Analysis. In this paper we review briefly the IFS (Iterated Function System) theory, and we show how this theoretical tool leads to new applications in Pattern Recognition and more precisely in the analysis of handwritten texts.
Nicole Vincent +2 more
openaire +1 more source
Image-based Handwriting Analysis for Disease Diagnosis
Cybersecurity and Cyberforensics Conference, 2022Handwriting movement is an activity dominated and controlled by human advanced nervous system, which depends on coordination and cooperation of multiple parts of the whole body, and the analysis of handwriting movement has been applied in many fields. In
Jiao Meng +5 more
semanticscholar +1 more source
Personality Traits Identification Through Handwriting Analysis
Mediterranean Conference on Pattern Recognition and Artificial Intelligence, 2021Personality traits are of paramount importance in identifying the human’s behavior. They represent a useful information source for forensic control, recruitment profiling, medical symptoms, and other applications.
T. Mekhaznia, C. Djeddi, Sobhan Sarkar
semanticscholar +1 more source
Computational Handwriting Analysis of Ancient Hebrew Inscriptions—A Survey
IEEE BITS the Information Theory Magazine, 2022Ancient texts are unique evidence providing a glimpse into the thoughts, day-to-day life, and culture of people of long-gone eras. Paleography, the study of writing, aims at documenting the inscriptions, transliterating the texts, reconstructing their ...
Shira Faigenbaum-Golovin +2 more
semanticscholar +1 more source
Gender detection and identifying one's handwriting with handwriting analysis
Expert Systems with Applications, 2017This study was designed to detect gender through writer's handwriting.The data set was formed through collecting 80 participants handwriting.133 attributes were tested with J48 and ID3 algorithms.Gender detection through handwriting reached 93.75% success rate.
Murat Topaloglu, Seher Ekmekci
openaire +1 more source
Analysis and Synthesis of Handwriting
2015No abstract.
Vredenbregt, J., Koster, W.G.
openaire +2 more sources

