Offline recognition of handwritten Indic scripts: A state-of-the-art survey and future perspectives
The handwritten script recognition is one of the most interesting and challenging areas of
pattern recognition due to numerous variations in writing styles. Extensive in-depth research …
pattern recognition due to numerous variations in writing styles. Extensive in-depth research …
Deblurgan-cnn: effective image denoising and recognition for noisy handwritten characters
S Gonwirat, O Surinta - IEEE Access, 2022 - ieeexplore.ieee.org
Many problems can reduce handwritten character recognition performance, such as image
degradation, light conditions, low-resolution images, and even the quality of the capture …
degradation, light conditions, low-resolution images, and even the quality of the capture …
Improving recognition of Thai handwritten characters with deep convolutional neural networks
S Gonwirat, O Surinta - Proceedings of the 3rd International Conference …, 2020 - dl.acm.org
For handwritten character recognition, a common problem is that each writer has unique
handwriting for each character (eg stroke, head, loop, and curl). The similarities of …
handwriting for each character (eg stroke, head, loop, and curl). The similarities of …
Density based semi-automatic labeling on multi-feature representations for ground truth generation: Application to handwritten character recognition
A huge number of labeled samples are required as training data to construct an efficient
recognition mechanism for an optical character recognition system. Although samples of …
recognition mechanism for an optical character recognition system. Although samples of …
Zone and rule assisted recognition of Meitei-Mayek handwritten characters
This paper presents a two-stage approach for an improved recognition accuracy of
handwritten Meitei Mayek characters. The first-stage is a CNN based recognition. The …
handwritten Meitei Mayek characters. The first-stage is a CNN based recognition. The …
Optical Script Identification for multi-lingual Indic-script
S Poddar, R Gupta - arXiv preprint arXiv:2308.05780, 2023 - arxiv.org
Script identification and text recognition are some of the major domains in the application of
Artificial Intelligence. In this era of digitalization, the use of digital note-taking has become a …
Artificial Intelligence. In this era of digitalization, the use of digital note-taking has become a …
[HTML][HTML] Exploring convolutional neural networks architectures for the classification of hand-drawn shapes in learning therapy applications
D Ruiz Vazquez, G Ramírez Alonso… - Computación y …, 2020 - scielo.org.mx
A positive consequence of the existence of a more inclusive society is the appearance of
protocols to help identify those in need. One of these protocols is the application of tests with …
protocols to help identify those in need. One of these protocols is the application of tests with …
Myanmar handwritten character recognition from similar character groups using k-means and convolutional neural network
C San Lwin, W Xiangqian - 2020 IEEE 3rd International …, 2020 - ieeexplore.ieee.org
The recognition of characters from similar character groups has gained popularity because it
considers only corresponding similar character groups instead of all possible characters …
considers only corresponding similar character groups instead of all possible characters …
Burnt-in Text Recognition from Medical Imaging Modalities: Existing Machine Learning Practices
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Medical Image Character Recognition Using Attention-Based Siamese Networks for Visually Similar Characters with Low Resolution
E Osagie, W Ji, N Helian - The International Conference on Innovations in …, 2024 - Springer
The emergence of optical character recognition (OCR) has been adopted in many domains
to automate various tasks. Still, recognising visually similar characters (VSC) remains a …
to automate various tasks. Still, recognising visually similar characters (VSC) remains a …