Advances in online handwritten recognition in the last decades

T Ghosh, S Sen, SM Obaidullah, KC Santosh… - Computer Science …, 2022 - Elsevier
The easy availability and rapid use of online devices like Take note, PDA, smartphones, etc.
at an affordable price increase the demand for online handwriting recognition. In this …

Multiple-fine-tuned convolutional neural networks for Parkinson's disease diagnosis from offline handwriting

M Gazda, M Hireš, P Drotár - IEEE Transactions on Systems …, 2021 - ieeexplore.ieee.org
Existing decision support system frameworks for diagnosing Parkinson's disease (PD)
through handwriting, speech, or gait characteristics share very similar pipelines. Although in …

The impact of COVID-19 on consumers' psychological behavior based on data mining for online user comments in the catering industry in China

C Zhang, J Jiang, H **, T Chen - International journal of environmental …, 2021 - mdpi.com
The outbreak of COVID-19 in late 2019 has had a huge impact on people's daily life. Many
restaurant businesses have been greatly affected by it. Consumers' preferences for catering …

[HTML][HTML] Interpol questioned documents review 2019–2022

M Deviterne-Lapeyre, S Ibrahim - Forensic Science International: Synergy, 2023 - Elsevier
The goal of this paper is to provide a comprehensive review of the technical advances and
general areas of research in the field of Forensic Handwriting/Forensic Document …

[HTML][HTML] Online handwritten Gurmukhi word recognition using fine-tuned deep convolutional neural network on offline features

S Singh, A Sharma, VK Chauhan - Machine Learning with Applications, 2021 - Elsevier
The recognition of online handwriting is a vital application of pattern recognition, which
involves the extraction of spatial and temporal information of handwritten patterns, and …

Handwritten Bangla city name word recognition using CNN-based transfer learning and FCN

R Pramanik, S Bag - Neural Computing and Applications, 2021 - Springer
Decomposition of a word into a set of appropriate pseudo-characters is a challenging task in
case of a cursive script like Bangla. Segmentation-free approach bypasses the …

From aging to early-stage Alzheimer's: uncovering handwriting multimodal behaviors by semi-supervised learning and sequential representation learning

MA El-Yacoubi, S Garcia-Salicetti, C Kahindo… - Pattern Recognition, 2019 - Elsevier
We present, in this paper, a novel paradigm for assessing Alzheimer's disease and aging by
analyzing impairment of handwriting (HW) on tablets, a challenging problem that is still in its …

A survey of mono-and multi-lingual character recognition using deep and shallow architectures: indic and non-indic scripts

S Kaur, S Bawa, R Kumar - Artificial Intelligence Review, 2020 - Springer
The cultural and regional diversity across the world and specifically in India has given birth
to a large number of writing systems and scripts having a variety of character sets. For scripts …

A survey on artificial intelligence-based approaches for personality analysis from handwritten documents

S Saha Biswas, H Mukherjee, A Dhar, OS Md… - International Journal on …, 2024 - Springer
Human personality is a blend of different traits and virtues. It's modeling is challenging due
to its inherent complexity. There are multitudinous cues to predict personality and …

Online handwritten Gurmukhi words recognition: An inclusive study

S Singh, A Sharma - ACM Transactions on Asian and Low-Resource …, 2019 - dl.acm.org
Identification of offline and online handwritten words is a challenging and complex task. In
comparison to Latin and Oriental scripts, the research and study of handwriting recognition …