Results 11 to 20 of about 471 (152)
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 +3 more sources
Towards the Natural Language Processing as Spelling Correction for Offline Handwritten Text Recognition Systems [PDF]
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 +3 more sources
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
core +7 more sources
Handwritten Text Recognition and Linguistic Research [PDF]
Digital Humanities in the Nordic and Baltic Countries Publications, 2020 This paper presents ongoing work with automatic transcription of handwritten, phonetically precise dialect texts from the south-west of Sweden (collected in the 1890s).
Erik Magnusson Petzell
doaj +2 more sources
Sharing Data for Handwritten Text Recognition (HTR)
Handwritten Text Recognition (HTR) is at present perhaps the principal application of Artificial Intelligence to the Digital Humanities. It falls under the category of supervised machine learning, and this in turn depends almost entirely on the data that is used for training.
Stokes, Peter, Kiessling, Benjamin
exaly +3 more sources
The Challenges of HTR Model Training: Feedback from the Project Donner le gout de l'archive a l'ere numerique [PDF]
Journal of Data Mining and Digital Humanities, 2023 The arrival of handwriting recognition technologies offers new possibilities for research in heritage studies. However, it is now necessary to reflect on the experiences and the practices developed by research teams.
Beatrice Couture +3 more
doaj +1 more source
EpiSearch. Identifying Ancient Inscriptions in Epigraphic Manuscripts [PDF]
Journal of Data Mining and Digital Humanities, 2023 Epigraphic documents are an essential source of evidence for our knowledge of the ancient world. Nonetheless, a significant number of inscriptions have not been preserved in their material form.
Lorenzo Calvelli +2 more
doaj +1 more source
Information, 2023 Offline handwritten text recognition (HTR) is a long-standing research project for a wide range of applications, including assisting visually impaired users, humans and robot interactions, and the automatic entry of business documents.
Direselign Addis Tadesse +2 more
doaj +1 more source
Geoscience Data Journal, Volume 10, Issue 3, Page 396-425, July 2023., 2023 In March 2020, the first Workshop on Sea Level Data Archaeology was held to promote this field; this article aims at reviewing the work of sea level data rescue in these various aspects (archive centres investigation, inventory, scanning, digitization tools, archiving, valorization, etc.).
Alexa Latapy +8 more
wiley +1 more source
Heritage, 2023 This work aims at developing an optimal strategy to automatically transcribe a large quantity of uncategorised, digitised archival documents when resources include handwritten text by multiple authors and in several languages.
Carlotta Capurro +2 more
doaj +1 more source