Results 51 to 60 of about 4,920 (161)

Handwriting generation, perception and recognition

Acta Psychologica, 1983
Abstract This paper describes several experiments which studied the speed of generating several styles of handwriting including block printing, manuscript, cursive and block printing in specified shapes and stroke sequences in boxes. Differences were observed between left-handers and right-handers. Also studied were the rates of recognizing the above
openaire   +2 more sources

Advanced handwriting identification: Triboelectric sensor array integrating with deep learning toward high information security

InfoMat
Handwriting identification is widely accepted as scientific evidence. However, its authenticity is questioned because it depends on the appraiser's professional skills and susceptibility to deliberate false identification by expert witnesses ...
Weiqiang Zhang, Linfeng Deng, Xiaozhou Lü, Mingxin Liu, Zewei Ren, Sicheng Chen, Yuanjin Zheng, Bin Yao, Weimin Bao, Zhong Lin Wang   +9 more
doaj   +1 more source

Technological Support of Forensic Examination of Handwritten Material with Introduction of Neural Networks

Теория и практика судебной экспертизы
The article deals with the issues of automation and computerization of forensic handwriting examination and handwriting studies with regard to the introduction of new information technologies – the artificial neural networks – into the expert production.
K. A. Chernyshev
doaj   +1 more source

Detection of Personality Traits Using Handwriting and Deep Learning

Applied Sciences
A series of studies and research have shown the existence of a link between handwriting and a person’s personality traits. There are numerous fields that require a psychological assessment of individuals, where there is a need to determine personality ...
Daniel Gagiu, Dorin Sendrescu
doaj   +1 more source

Early Diagnosis of Dysgraphia in Children Based on Handwriting Image Using AI

IEEE Access
Dysgraphia 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, M. Geetha, P. A. Abekaesh, Nikhil N. Kartha, G. Dhanush Kumar   +4 more
doaj   +1 more source

ClothFace: A Batteryless RFID-Based Textile Platform for Handwriting Recognition. [PDF]

Sensors (Basel), 2020
He H, Chen X, Mehmood A, Raivio L, Huttunen H, Raumonen P, Virkki J.   +6 more
europepmc   +1 more source

An Inclusive review on deep learning techniques and their scope in handwriting recognition

ELCVIA Electronic Letters on Computer Vision and Image Analysis
Deep learning expresses a category of machine learning algorithms that have the capability to combine raw inputs into intermediate features layers. These deep learning algorithms have demonstrated great results in different fields.
Sukhdeep Singh, Sudhir Rohilla, Anuj Sharma   +2 more
doaj   +1 more source

Integrating path signature and pen-tip trajectory features for online handwriting Yi text recognition

Heritage Science
Recognizing online handwriting Yi text is crucial for recording and preserving Yi literature. However, the scarcity of online handwriting Yi text datasets has limited relevant research, impeding the process of Yi informatization.
Wenjun Xiao, Shanxiong Chen, Yuqi Ma, Yongbo Li, Xiaolong Wang, Yaoyao Feng, Weizheng Qiao, Xun Pu   +7 more
doaj   +1 more source

On-line recognition of connected handwriting [PDF]

, 1991
Computer technology has rapidly improved over the last few years, with more powerful machines becoming ever smaller and cheaper. The latest growth area is in portable personal computers, providing powerful facilities to the mobile business person.
openaire   +2 more sources

Emotion Recognition Based on Handwriting Using Generative Adversarial Networks and Deep Learning

IET Biometrics
The quality of people’s lives is closely related to their emotional state. Positive emotions can boost confidence and help overcome difficulties, while negative emotions can harm both physical and mental health.
Hengnian Qi, Gang Zeng, Keke Jia, Chu Zhang, Xiaoping Wu, Mengxia Li, Qing Lang, Lingxuan Wang   +7 more
doaj   +1 more source