Deep learning approaches to scene text detection: a comprehensive review

T Khan, R Sarkar, AF Mollah - Artificial Intelligence Review, 2021 - Springer
In recent times, text detection in the wild has significantly raised its ability due to tremendous
success of deep learning models. Applications of computer vision have emerged and got …

An efficient deep neural network with adaptive galactic swarm optimization for complex image text extraction

D Pandey, BK Pandey - Process Mining Techniques for Pattern …, 2022 - taylorfrancis.com
Text present in a complex image contains various details which are employed to recognize
the conditions of the image and to nontext details. The details available in the complex …

Two-step CNN framework for text line recognition in camera-captured images

YS Chernyshova, AV Sheshkus, VV Arlazarov - IEEE Access, 2020 - ieeexplore.ieee.org
In this paper, we introduce an “on the device” text line recognition framework that is
designed for mobile or embedded systems. We consider per-character segmentation as a …

Hybrid deep neural network with adaptive galactic swarm optimization for text extraction from scene images

D Pandey, BK Pandey, S Wairya - Soft Computing, 2021 - Springer
Text obtained in natural scenes contains various information; therefore, it is extensively used
in various applications to understand the image scenarios and also to retrieve the visual …

Deep learning and particle swarm optimisation-based techniques for visually impaired humans' text recognition and identification

BK Pandey, D Pandey, S Wariya, G Aggarwal… - Augmented Human …, 2021 - Springer
Blind people can benefit greatly from a system capable of localising and reading
comprehension text embedded in natural scenes and providing useful information that …

A deep neural network-based approach for extracting textual images from deteriorate images

BK Pandey, D Pandey, S Wariya… - … on Industrial Networks …, 2021 - publications.eai.eu
INTRODUCTION: The quantity of audio and visual data is increasing exponentially due to
the internet's rapid growth. The digital information in images and videos could be used for …

Scene text understanding: recapitulating the past decade

M Ghosh, H Mukherjee, SM Obaidullah, XZ Gao… - Artificial Intelligence …, 2023 - Springer
Computational perception has indeed been dramatically modified and reformed from
handcrafted feature-based techniques to the advent of deep learning. Scene text …

AUTNT-A component level dataset for text non-text classification and benchmarking with novel script invariant feature descriptors and D-CNN

T Khan, AF Mollah - Multimedia Tools and Applications, 2019 - Springer
Automated scene text recognition from camera images is considered as a pioneer research
area through last few decades. Classification of foreground object components from camera …

Persian printed text line detection based on font size

A Fateh, M Rezvani, A Tajary, M Fateh - Multimedia Tools and …, 2023 - Springer
Text line segmentation is an essential step in the process of converting document images
into text. In OCR systems, text line segmentation affects the character segmentation stage …

Language identification from multi-lingual scene text images: a CNN based classifier ensemble approach

N Chakraborty, S Kundu, S Paul, AF Mollah… - Journal of Ambient …, 2021 - Springer
Since the past two decades, detecting text regions in complex natural images has emerged
as a problem of great interest for the research fraternity. This is because these regions of …