Text localization from natural images plays an essential role in reading the text content
present in the illustration. It is complex to localize the textual content because the text in …

In modern deep learning, character recognition in images is a very important field of study
due to its has many real life applications. The goal of this paper is to create the state-of-the …

The rise of artificial intelligence applications has led to a surge in Internet of Things (IoT)
research. Biometric recognition methods are extensively used in IoT access control due to …

The challenging task of accurately detecting and recognizing text from images captured in
intricate real-world settings is known as text reading. The inherent complexity and variability …

Scene text reading includes both scene text detection and recognition tasks. These tasks
face several challenges including text pattern variability, background complexity and scene …

Accepted: 8 June 2022 Detecting and recognizing text in natural scene videos and images
has brought more attention to computer vision researchers due to applications like robotic …

Scene text image super-resolution is an interesting and challenging task which aims to
enhance the spatial resolution of low-resolution text images in the wild, and consequently …

Motivated by the increasing applications of artificial intelligence in education, the present
study aimed at developing an Artificial Neural Network (ANN)-based model for predicting …

In this paper, the effect of different noises on Laguerre-Gaussian (LG) modes recognition by
convolution neural network (CNN). A dataset of halftone images with LG modes and noises …

Handwritten character recognition (HCR) is a growing field in the applications of pattern
recognition, image processing, communication technologies, and so on. But, the …