Autoencoder image denoising to increase optical character recognition performance in text conversion

N Alamsyah, MN Fauzan, AG Putrada… - … on Advanced Creative …, 2022 - ieeexplore.ieee.org
Document digitization has an important role in helping the company's activities be more
efficient, such as detecting text in invoice document images using optical character …

EDU-GAN: Edge Enhancement Generative Adversarial Networks with Dual-Domain Discriminators for Inscription Images Denoising.

Y Liu, E Zhang, J Wang, G Lin… - Computers, Materials & …, 2024 - search.ebscohost.com
Recovering high-quality inscription images from unknown and complex inscription noisy
images is a challenging research issue. Different from natural images, character images pay …

Research on Defect Detection of Wind Turbine Blades Based on Morphology and Improved Otsu Algorithm Using Infrared Images.

S Kang, Y He, W Li, S Liu - Computers, Materials & Continua, 2024 - search.ebscohost.com
To address the issues of low accuracy and high false positive rate in traditional Otsu
algorithm for defect detection on infrared images of wind turbine blades (WTB), this paper …

Machine Learning for Image Denoising: A Review

M Wu, S Wang, S Chen, Y Zhang - International Conference on Medical …, 2023 - Springer
Due to the increasing demand for high-quality images in various applications, more attention
is paid to image denoising to improve image quality. However, the traditional image …

Denoising Historical Text Documents Using Generative Adversarial Networks

P Preethi, P Upadhya, MC Likith, N Meghana… - … on Intelligent Informatics, 2023 - Springer
The field of image-to-image translation, particularly in the context of denoising historical text
documents, has witnessed significant advancements driven by the application of Generative …

An MR Image Segmentation Method Based on Dictionary Learning Preprocessing and Probability Statistics

Y Song, C Ge, X Zhang, N Song, W Hou… - … Conference on Artificial …, 2022 - Springer
Segmentation of brain MR images can help clinicians to extract regions of interest. At
present, there are many studies on brain MR image segmentation, especially in deep …

Artificial Intelligence in Invoice Recognition: a Systematic Literature Review

O Kukharska - 2023 - comum.rcaap.pt
In the era marked by a flourishing economy and rapid advancements in information
technology, the proliferation of invoice data has accentuated the urgent need for automated …