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 …

Simultaneous super-resolution and classification of lung disease scans

HM Emara, MR Shoaib, W El-Shafai, M Elwekeil… - Diagnostics, 2023 - mdpi.com
Acute lower respiratory infection is a leading cause of death in developing countries. Hence,
progress has been made for early detection and treatment. There is still a need for improved …

Handwritten Recognition Techniques: A Comprehensive Review

HA Alhamad, M Shehab, MKY Shambour… - Symmetry, 2024 - mdpi.com
Given the prevalence of handwritten documents in human interactions, optical character
recognition (OCR) for documents holds immense practical value. OCR is a field that …

CNN-based Thai handwritten OCR: an application for automated mail sorting

S Prommas, T Siriborvornratanakul - International Journal of Information …, 2024 - Springer
Automated mail sorting machines commonly use Optical Character Recognition (OCR) to
recognize destination postcodes on envelopes and sort them accordingly. However, errors …

[PDF][PDF] Deep Learning-Based Dzongkha Handwritten Digit Classification

Y Jamtsho, P Yangden, S Wangmo… - JITCE (Journal of …, 2024 - researchgate.net
Dzongkha is the national language of Bhutan, and its dialect is the native mother tongue of
eight western districts. With the introduction of Dzongkha computing technology, a …

Comparison study of traffic signs recognition using deep learning architectures

K Alawaji, R Hedjar - 2022 13th International Conference on …, 2022 - ieeexplore.ieee.org
Self-driving vehicles are considered one of the most significant advanced technologies in
computer science and artificial intelligence. The primary objective of autonomous driving is …

Offline Handwriting Recognition of Thai Characters Using Multiple Deep Neural Networks

N Nimsuk, N Thumpaiboon… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Handwritten character recognition is a challenge task in many languages. However,
languages have their own characteristics. In Thai language, although it is always written …

[PDF][PDF] ThaiWritableGAN: Handwriting generation under given information

L Mookdarsanit, P Mookdarsanit - International Journal of …, 2021 - pdfs.semanticscholar.org
For the local technique challenge, Thai has different symbols' vertical positions with no
space between characters and words. Thai handwriting recognition has been a long time …

FADCOVNET: Fast Automatic Detection Covid-19 Based on Inception-Resnet-V2 Model

T Agustin, S Rihastuti… - 2022 4th International …, 2022 - ieeexplore.ieee.org
Covid-19 is still a threat to human health. Initial handling in detecting the status of positive
COVID-19 patients or not through the IT sector is still very much needed to help the …

A Review in Assamese Handwritten Character Recognition

BB Handique, P Das - NIELIT's International Conference on …, 2024 - Springer
Detection and recognition of handwritten characters has been an existing field since the
early age of computing. The main purpose of character recognition is to detect characters …