Results 21 to 30 of about 134 (124)
Applied Sciences, 2020 The increasing portability of physical manuscripts to the digital environment makes it common for systems to offer automatic mechanisms for offline Handwritten Text Recognition (HTR).
Arthur Flor de Sousa Neto +2 more
doaj +1 more source
Szerzőazonosítás Jacob és Wilhelm Grimm zajos, digitalizált levelezésében
Digitális Bölcsészet, 2021 Az alábbi cikk egy multidiszciplináris projekt eredményeit mutatja be, amely a különböző digitalizációs stratégiák számítógépes szöveganalízisben való használhatóságát járja körül.
Greta Franzini +7 more
doaj +1 more source
A speculative design for future handwritten text recognition: HTR use, and its impact on historical research and the digital record. [PDF]
, 2023 With image-to-text character recognition now possible, this paper presents a speculative design of handwritten text recognition (HTR): asking what impact it may have on the historical method in the near-future? Through this speculative approach, we present a minimal design for the development of HTR, using evidence collected from a grounded theory ...
Nockels, Joe +2 more
openaire +1 more source
Journal of Open Humanities Data, 2021 Existing text recognition engines enables to train general models to recognize not only one specific hand but a multitude of historical hands within a particular script, and from a rather large time period (more than 100 years).
Tobias Hodel +3 more
doaj +1 more source
State of the Field: Digital History
History, Volume 105, Issue 365, Page 291-312, April 2020., 2020 Abstract Computing and the use of digital sources and resources is an everyday and essential practice in current academic scholarship. The present article gives a concise overview of approaches and methods within digital historical scholarship, focusing on the question ‘How have the digital humanities evolved and what has that evolution brought to ...
C. ANNEMIEKE ROMEIN +8 more
wiley +1 more source
La reconnaissance automatique d'écriture à l'épreuve des langues peu dotées
The Programming Historian en Français, 2023 Ce tutoriel a pour but de décrire les bonnes pratiques pour la création d’ensembles de données et la spécialisation des modèles en fonction d’un projet HTR (Handwritten Text Recognition) ou OCR (Optical Character Recognition) sur des documents qui n ...
Chahan Vidal-Gorène
doaj +1 more source
Handwritten text recognition using deep learning techniques: A survey [PDF]
MATEC Web of ConferencesHTR (Handwritten Text Recognition) is the automated process of converting handwritten text into digital text, holding immense value in digitizing historical records and facilitating data entry.
Rakesh S. +3 more
doaj +1 more source
IEEE Access, 2020 Automatic handwriting recognition systems are of interest for academic research fields and for commercial applications. Recent advances in deep learning techniques have shown dramatic improvement in relation to classic computer vision problems ...
Arthur Flor De Sousa Neto +3 more
doaj +1 more source
, 2023 We introduce a new dataset for offline Handwritten Text Recognition (HTR) from images of Bangla scripts comprising words, lines, and document-level annotations. The BN-HTRd dataset is based on the BBC Bangla News corpus, meant to act as ground truth texts.
Rahman, Md. Ataur +4 more
openaire +2 more sources
Boosting Offline Handwritten Text Recognition in Historical Documents With Few Labeled Lines
IEEE Access, 2021 In this paper we address the problem of offline handwritten text recognition (HTR) in historical documents when few labeled samples are available and some of them contain errors in the train set. Our three main contributions are: first, we analyze how to
Jose Carlos Aradillas +2 more
doaj +1 more source