Results 61 to 70 of about 5,692 (199)

Deep Learning in Written Arabic Linguistic Studies: A Comprehensive Survey

open access: yesIEEE Access
This article presents a comprehensive survey on recent applications of deep learning (DL) algorithms to written Arabic. Despite the increasing amount of user-generated content in Arabic, linguistic studies focusing on Arabic suffer from low analytical ...
Manar Almanea
doaj   +1 more source

Exploiting Script Similarities to Compensate for the Large Amount of Data in Training Tesseract LSTM: Towards Kurdish OCR

open access: yesApplied Sciences, 2021
Applications based on Long-Short-Term Memory (LSTM) require large amounts of data for their training. Tesseract LSTM is a popular Optical Character Recognition (OCR) engine that has been trained and used in various languages.
Saman Idrees, Hossein Hassani
doaj   +1 more source

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

open access: yesEngineering 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   +2 more
wiley   +1 more source

An Enhanced Word Level Arabic Ocr Based on Dual Encoder Transformer Architecture

open access: yesJordanian Journal of Computers and Information Technology
Arabic script is one of the most sophisticated and difficult scripts. It uses different shapes of characters with complex diacritical marks that are difficult to distinguish from characters' dots.
Khulood Gaashan, Maram Bani Younes
doaj   +1 more source

Implicit Language Model in LSTM for OCR

open access: yes, 2018
Neural networks have become the technique of choice for OCR, but many aspects of how and why they deliver superior performance are still unknown. One key difference between current neural network techniques using LSTMs and the previous state-of-the-art ...
Natarajan, Prem   +2 more
core   +1 more source

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

open access: yesRenaissance 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   +3 more
wiley   +1 more source

Abstract Book for the 27th Congress of the European Hematology Association

open access: yes, 2022
HemaSphere, Volume 6, Issue S3, Page 1-4130, June 2022.
wiley   +1 more source

Text Line Segmentation of Historical Documents: a Survey

open access: yes, 2007
There is a huge amount of historical documents in libraries and in various National Archives that have not been exploited electronically. Although automatic reading of complete pages remains, in most cases, a long-term objective, tasks such as word ...
A. Amin   +26 more
core   +1 more source

Electrospun Polymeric Nanofibers for Malaria Control: Advances in Slow‐Release Mosquito Repellent Technology

open access: yesMacromolecular Materials and Engineering, Volume 309, Issue 8, August 2024.
Recent developments in mosquito‐repellent textiles fabricated using the electrospinning method are reviewed. Electrospinning technology is shown to be a remarkably facile method to fabricate polymeric nanofiber‐based repellents. Electrospun polymeric nanofibers delay the release rate of the repellent.
António Benjamim Mapossa   +4 more
wiley   +1 more source

CNN-Based Page Segmentation and Object Classification for Counting Population in Ottoman Archival Documentation

open access: yesJournal of Imaging, 2020
Historical document analysis systems gain importance with the increasing efforts in the digitalization of archives. Page segmentation and layout analysis are crucial steps for such systems.
Yekta Said Can, M. Erdem Kabadayı
doaj   +1 more source

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