Current status and performance analysis of table recognition in document images with deep neural networks

KA Hashmi, M Liwicki, D Stricker, MA Afzal… - IEEE …, 2021 - ieeexplore.ieee.org
The first phase of table recognition is to detect the tabular area in a document.
Subsequently, the tabular structures are recognized in the second phase in order to extract …

Cross lingual handwritten character recognition using long short term memory network with aid of elephant herding optimization algorithm

NS Guptha, V Balamurugan, G Megharaj… - Pattern Recognition …, 2022 - Elsevier
In the recent decades, the handwritten character recognition is still a challenging process in
the pattern recognition field. The handwritten digits and characters are not always of the …

Optical charater recognition using tesseract and classification

S Dome, AP Sathe - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Optical Character Recognition (OCR) is a process or technology in which text within a digital
image is recognized. It is mainly used for converting the transcribed, handwritten or any …

Construction of Alphabetic Character Recognition Systems: A Review

HD Majeed, GS Nariman - UHD Journal of Science and …, 2023 - journals.uhd.edu.iq
Character recognition (CR) systems were attracted by a massive number of authors' interest
in this field, and lot of research has been proposed, developed, and published in this regard …

Synthetized Multilanguage OCR Using CRNN and SVTR Models for Realtime Collaborative Tools

A Biró, AI Cuesta-Vargas, J Martín-Martín, L Szilágyi… - Applied Sciences, 2023 - mdpi.com
Background: Remote diagnosis using collaborative tools have led to multilingual joint
working sessions in various domains, including comprehensive health care, and resulting in …

Automated hand-marked semantic text recognition from photographs

S Suh, G Lee, D Gil, Y Kim - Scientific reports, 2023 - nature.com
Automated text recognition techniques have made significant advancements; however,
certain tasks still present challenges. This study is motivated by the need to automatically …

Intelligent image text reader using easy ocr, nrclex & nltk

C Jeeva, T Porselvi, B Krithika, R Shreya… - … on Power, Energy …, 2022 - ieeexplore.ieee.org
The Intelligent Image Text Reader is capable of capturing an image and extracting the text
from the image using the Easy OCR library and displaying them in the form of speech output …

Multiple attention-based encoder–decoder networks for gas meter character recognition

W Li, S Wang, I Ullah, X Zhang, J Duan - Scientific Reports, 2022 - nature.com
Factories swiftly and precisely grasp the real-time data of the production instrumentation,
which is the foundation for the development and progress of industrial intelligence in …

A novel system for image text recognition and classification using deep learning

SI Manzoor, J Singla - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Nowadays, the recognition of patterns by artificial intelligence algorithms based on artificial
neural networks is one of the broadest and most developed areas of study in the computer …

Enabling Intelligent Traffic Systems: A Deep Learning Method for Accurate Arabic License Plate Recognition

MA Sayedelahl - arXiv preprint arXiv:2408.02904, 2024 - arxiv.org
This paper introduces a novel two-stage framework for accurate Egyptian Vehicle License
Plate Recognition (EVLPR). The first stage employs image processing techniques to reliably …