Results 1 to 10 of about 36,676 (115)
Frontiers in Psychology, 2021 Aim: Longitudinal studies are rare in the field of writing research, and little is known about the concurrent development of the two transcription skills: spelling and handwriting.
Claire Gosse +2 more
semanticscholar +3 more sources
Content and Style Aware Generation of Text-Line Images for Handwriting Recognition [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 Handwritten Text Recognition has achieved an impressive performance in public benchmarks. However, due to the high inter- and intra-class variability between handwriting styles, such recognizers need to be trained using huge volumes of manually labeled ...
Lei Kang +4 more
semanticscholar +1 more source
Handwriting Transformers [PDF]
IEEE International Conference on Computer Vision, 2021 We propose a novel transformer-based styled handwritten text image generation approach, HWT, that strives to learn both style-content entanglement as well as global and local style patterns.
A. Bhunia +5 more
semanticscholar +1 more source
HiGAN+: Handwriting Imitation GAN with Disentangled Representations
ACM Transactions on Graphics, 2022 Humans remain far better than machines at learning, where humans require fewer examples to learn new concepts and can use those concepts in richer ways.
Ji Gan +3 more
semanticscholar +1 more source
Handwriting Biometrics: Applications and Future Trends in e-Security and e-Health [PDF]
Cognitive Computation, 2020 Online handwritten analysis presents many applications in e-security, signature biometrics being the most popular but not the only one. Handwriting analysis also has an important set of applications in e-health. Both kinds of applications (e-security and
M. Faúndez-Zanuy +5 more
semanticscholar +1 more source
Fast multi-language LSTM-based online handwriting recognition [PDF]
International Journal on Document Analysis and Recognition, 2019 We describe an online handwriting system that is able to support 102 languages using a deep neural network architecture. This new system has completely replaced our previous segment-and-decode-based system and reduced the error rate by 20–40% relative ...
V. Carbune +9 more
semanticscholar +1 more source
Handwriting fluency and the quality of primary grade students’ writing
Reading & Writing, 2021 Until children can produce letters quickly and accurately, it is assumed that handwriting disrupts and limits the quality of their text. This investigation is the largest study to date (2596 girls, 2354 boys) assessing the association between handwriting
G. B. Skar +5 more
semanticscholar +1 more source
The Effects of Handwriting Experience on Literacy Learning
Psychology Science, 2021 Previous research indicates that writing practice may be more beneficial than nonmotor practice for letter learning. Here, we report a training study comparing typing, visual, and writing learning conditions in adults (N = 42).
Robert W. Wiley, B. Rapp
semanticscholar +1 more source
Arabic handwriting recognition system using convolutional neural network
Neural computing & applications (Print), 2020 Automatic handwriting recognition is an important component for many applications in various fields. It is a challenging problem that has received a lot of attention in the past three decades.
Najwa Altwaijry, Isra M. Al-Turaiki
semanticscholar +1 more source
HiGAN: Handwriting Imitation Conditioned on Arbitrary-Length Texts and Disentangled Styles
AAAI Conference on Artificial Intelligence, 2021 Given limited handwriting scripts, humans can easily visualize (or imagine) what the handwritten words/texts would look like with other arbitrary textual contents.
Ji Gan, Weiqiang Wang
semanticscholar +1 more source