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Advances in online handwritten recognition in the last decades
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 …
at an affordable price increase the demand for online handwriting recognition. In this …
Toward understanding wordart: Corner-guided transformer for scene text recognition
Artistic text recognition is an extremely challenging task with a wide range of applications.
However, current scene text recognition methods mainly focus on irregular text while have …
However, current scene text recognition methods mainly focus on irregular text while have …
Text extraction and detection from images using machine learning techniques: a research review
S Surana, K Pathak, M Gagnani… - … on electronics and …, 2022 - ieeexplore.ieee.org
Machine Learning is subset of Artificial Intelligence and there is lots of research growth
across the world. It has capability to learn by its own without seeking any help from human …
across the world. It has capability to learn by its own without seeking any help from human …
Fast multi-language LSTM-based online handwriting recognition
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 …
deep neural network architecture. This new system has completely replaced our previous …
A new perspective: Recognizing online handwritten Chinese characters via 1-dimensional CNN
For online handwritten Chinese character recognition (OLHCCR), it has become a popular
choice to employ the 2-dimensional convolutional neural network (2-D CNN) in recognizing …
choice to employ the 2-dimensional convolutional neural network (2-D CNN) in recognizing …
Improving the DBLSTM for on-line Arabic handwriting recognition
R Maalej, M Kherallah - Multimedia Tools and Applications, 2020 - Springer
Various applications involved in the computer recognition of pen-input handwritten words,
such as the online form filling, text editing, note taking, and so on. Therefore, a great deal of …
such as the online form filling, text editing, note taking, and so on. Therefore, a great deal of …
Anomaly detection of earthquake precursor data using long short-term memory networks
Earthquake precursor data have been used as an important basis for earthquake prediction.
In this study, a recurrent neural network (RNN) architecture with long short-term memory …
In this study, a recurrent neural network (RNN) architecture with long short-term memory …
Air-writing recognition using deep convolutional and recurrent neural network architectures
In this paper, we explore deep learning architectures applied to the air-writing recognition
problem where a person writes text freely in the three dimensional space. We focus on …
problem where a person writes text freely in the three dimensional space. We focus on …
In-air handwritten English word recognition using attention recurrent translator
J Gan, W Wang - Neural Computing and Applications, 2019 - Springer
As a new human–computer interaction way, in-air handwriting allows users to write in the air
in a natural, unconstrained way. Compared with conventional online handwriting based on …
in a natural, unconstrained way. Compared with conventional online handwriting based on …
A self-attention-based deep architecture for online handwriting recognition
SA Molavi, B BabaAli - Neural Computing and Applications, 2024 - Springer
The self-attention mechanism has been the most frequent and efficient way for processing
and learning sequences in numerous domains of artificial intelligence, including natural …
and learning sequences in numerous domains of artificial intelligence, including natural …