Results 31 to 40 of about 4,920 (161)
AERA Open, 2019 Handwriting practice is the most time-consuming activity for learners of Chinese as a foreign language (CFL). CFL instructors report allocating at least one third of their course time to handwriting practice although it prevents students from engaging in
Xiwen Lu +2 more
doaj +1 more source
A new dataset for mongolian online handwritten recognition
Scientific Reports, 2023 This paper introduces a new traditional Mongolian word-level online handwriting dataset, MOLHW. The dataset consists of handwritten Mongolian words, including 164,631 samples written by 200 writers and covering 40,605 Mongolian common words.
Yuecai Pan +3 more
doaj +1 more source
On Using Entropy for Enhancing Handwriting Preprocessing
Entropy, 2012 Handwriting is an important modality for Human-Computer Interaction. For medical professionals, handwriting is (still) the preferred natural method of documentation. Handwriting recognition has long been a primary research area in Computer Science.
Bernhard Peischl +3 more
doaj +1 more source
A Review of Multilingual Handwriting Analysis Techniques in Forensic Science
Journal of Forensic Science and MedicineHandwriting analysis is a crucial forensic tool used for identifying individuals, authenticating documents, and detecting forgeries in both civil and criminal investigations.
Ganti Skanda Priya +2 more
doaj +1 more source
Writer adaptation for E2E Arabic online handwriting recognition via adversarial multi task learning
Egyptian Informatics Journal, 2022 The importance of online handwriting recognition has been rapidly increasing over recent years due to the rapid technological advances in handheld devices and communication software with handwriting interfaces.
Fakhraddin Alwajih +2 more
doaj +1 more source
On the Mathematics of Mathematical Handwriting Recognition [PDF]
2010 12th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2010 Abstract-Accurate computer recognition of handwritten mathematics offers to provide a natural interface for mathematical computing, document creation and collaboration. Mathematical handwriting, however, provides a number of challenges beyond what is required for the recognition of handwritten natural languages.
openaire +2 more sources
Machine-Learning Methods for Speech and Handwriting Detection Using Neural Signals: A Review
Sensors, 2023 Brain–Computer Interfaces (BCIs) have become increasingly popular in recent years due to their potential applications in diverse fields, ranging from the medical sector (people with motor and/or communication disabilities), cognitive training, gaming ...
Ovishake Sen +5 more
doaj +1 more source
Handwritten Digits Recognition From sEMG: Electrodes Location and Feature Selection
IEEE Access, 2023 Despite hand gesture recognition is a widely investigated field, the design of myoelectric architectures for detecting finer motor task, like the handwriting, is less studied. However, writing tasks involving cognitive loads represent an important aspect
Andrea Tigrini +7 more
doaj +1 more source
1x1 Trainer with Handwriting Recognition
International Journal of Interactive Mobile Technologies (iJIM), 2018 <p class="0abstract">Nowadays, computers and mobile devices play a huge role in our daily routines; they are used at work, for private purposes and even at school. Moreover, they are used as support for different kinds of activities and task, like for example, learning applications.
Michael Rabko, Martin Ebner
openaire +3 more sources
Applied Sciences, 2021 Handwriting verification is a biometric recognition field that identifies individuals’ unique characteristics contained in their handwriting. A single written character shows subtle differences depending on habits accumulated over time or the manner of ...
Kyung Won Jin, Eui Chul Lee
doaj +1 more source