Offline recognition of handwritten Indic scripts: A state-of-the-art survey and future perspectives

R Sharma, B Kaushik - Computer Science Review, 2020 - Elsevier
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 …

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 …

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 …

Density based semi-automatic labeling on multi-feature representations for ground truth generation: Application to handwritten character recognition

P Inkeaw, P Udomwong, J Chaijaruwanich - Knowledge-Based Systems, 2021 - Elsevier
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 …

Zone and rule assisted recognition of Meitei-Mayek handwritten characters

D Hijam, S Saharia - Evolutionary Intelligence, 2024 - Springer
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 …

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 …

[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 …

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 …

Burnt-in Text Recognition from Medical Imaging Modalities: Existing Machine Learning Practices

E Osagie, W Ji, N Helian - Journal of Advanced Computational …, 2024 - jstage.jst.go.jp
. FEJDBM JNBHJOH NPEBMJUJFT.*. BSF VTFE UP QSPCF UIF IVNBO CPEZ QBSUT GPS
DMJOJDBM FYBNJOBUJPOT BOE UIF JOUFSQSFUBUJPO PG UIF SFTVMUJOH …

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 …