Results 51 to 60 of about 226,611 (194)

Urdu Optical Character Recognition Systems: Present Contributions and Future Directions

IEEE Access, 2018
This paper gives an across-the-board comprehensive review and survey of the most prominent studies in the field of Urdu optical character recognition (OCR).
Naila Habib Khan, Awais Adnan
doaj   +1 more source

Advancing Multinational License Plate Recognition Through Synthetic and Real Data Fusion: A Comprehensive Evaluation

IET Intelligent Transport Systems, Volume 19, Issue 1, January/December 2025.
This work comprehensively explores the integration of real and synthetic data to enhance license plate recognition performance. We examined three distinct methodologies for generating synthetic data: template‐based generation, character permutation, and utilizing a generative adversarial network (GAN) model.
Rayson Laroca, Valter Estevam, Gladston J. P. Moreira, Rodrigo Minetto, David Menotti   +4 more
wiley   +1 more source

A Statistically Validated and Decoding-Aware CNN–Transformer–CTC Framework for Multi-Font Printed Arabic Word Recognition

Applied Sciences
Printed Arabic Optical Character Recognition (OCR) remains challenging due to complex glyph morphology, typographic variability, and sensitivity to Unicode-preserved evaluation protocols. This work introduces a methodology that explicitly treats decoding
Abderrahime Tabzaoui, Loqman Chakir
doaj   +1 more source

Persian Optical Character Recognition Using Deep Bidirectional Long Short-Term Memory

Applied Sciences, 2022
Optical Character Recognition (OCR) is a system of converting images, including text,into editable text and is applied to various languages such as English, Arabic, and Persian.
Zohreh Khosrobeigi, Hadi Veisi, Ehsan Hoseinzade, Hanieh Shabanian   +3 more
doaj   +1 more source

Persian/Arabic Scene Text Recognition With Convolutional Recurrent Neural Network

IET Smart Cities, Volume 7, Issue 1, January/December 2025.
Advancements in technology have made natural scene text recognition (STR) crucial and challenging due to various factors such as font, colour, texture, illumination, and complex backgrounds. This research study explores optical character recognition (OCR) for Iranian signposts, traffic signs, and licence plates by combining preprocessing techniques ...
Alireza Akoushideh, Atefeh Ranjkesh Rashtehroudi, Asadollah Shahbahrami   +2 more
wiley   +1 more source

Accurate Automatic Recognition of Iraqi License Plates Using YOLOv11n and Enhanced OCR Techniques

Emitter: International Journal of Engineering Technology
Automatic License Plate Recognition (ALPR) systems are widely utilized for traffic monitoring, law enforcement, and security applications. While previous ALPR techniques have demonstrated high accuracy on uniform license plate formats, recognizing ...
Aymen saad, Usman Ullah Sheikh, Zaid Abdi Alkareem   +2 more
doaj   +1 more source

Enhancing optical character recognition: Efficient techniques for document layout analysis and text line detection

Engineering Reports, Volume 6, Issue 9, September 2024.
Our proposed method introduces several key novelties that contribute to the advancement of optical character recognition (OCR) systems. We collected and presented a valuable dataset for training and evaluating OCR models. Our proposed method successfully addresses challenges associated with document layout analysis (DLA) and text line detection in OCR ...
Amirreza Fateh, Mansoor Fateh, Vahid Abolghasemi   +2 more
wiley   +1 more source

Reading for musical knowledge in early sixteenth‐century Italy: Introduction

Renaissance Studies, Volume 38, Issue 4, Page 484-493, September 2024.
Abstract The essays included here present case studies prepared within the project ‘Sounding the Bookshelf 1501: Music in a Year of Italian Printed Books’, funded by the Leverhulme Trust and hosted at the University of Sheffield. The project asks a simple question: standing in a Venetian bookshop towards the end of the year 1501, what information about
Tim Shephard, Laura Ștefănescu, Oliver Doyle, Ciara O'Flaherty   +3 more
wiley   +1 more source

Perspectives on Arabic Linguistics.: Papers Selected from the Annual Symposium on Arabic Linguistics, Tempe, Arizona 2018, XXXII : Studies in Arabic linguistics ;, v.9./ edited by Elly van Gelderen.

, 2020
5. ConclusionIncludes bibliographical references and index.Intro -- Perspectives on Arabic Linguistics XXXII -- Editorial page -- Title page -- Copyright page -- Table of contents -- Introduction -- 1.
Gelderen Elly van
core  

An Efficient Language-Independent Multi-Font OCR for Arabic Script

Computer Science & Information Technology (CS & IT), 2020
Optical Character Recognition (OCR) is the process of extracting digitized text from images of scanned documents. While OCR systems have already matured in many languages, they still have shortcomings in cursive languages with overlapping letters such as the Arabic language. This paper proposes a complete Arabic OCR system that takes a scanned image of
Hussein Osman, Karim Zaghw, Mostafa Hazem, Seifeldin Elsehely   +3 more
openaire   +3 more sources