Results 31 to 40 of about 471 (152)

General Models for Handwritten Text Recognition: Feasibility and State-of-the Art. German Kurrent as an Example

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, David Schoch, Christa Schneider, Jake Purcell   +3 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, Mike Kestemont, Gabriela Rotari, Melina Jander, Jeremi K. Ochab, Emily Franzini, Joanna Byszuk, Jan Rybicki   +7 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, MAX KEMMAN, JULIE M. BIRKHOLZ, JAMES BAKER, MICHEL DE GRUIJTER, ALBERT MEROÑO‐PEÑUELA, THORSTEN RIES, RUBEN ROS, STEFANIA SCAGLIOLA   +8 more
wiley   +1 more source

HDSR-Flor: A Robust End-to-End System to Solve the Handwritten Digit String Recognition Problem in Real Complex Scenarios

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, Byron Leite Dantas Bezerra, Estanislau Baptista Lima, Alejandro Hector Toselli   +3 more
doaj   +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

tranScriptorium: a european project on handwritten text recognition [PDF]

, 2013
The tranScriptorium project aims to develop innovative, efficient and cost-effective solutions for annotating handwritten historical documents using modern, holistic Handwritten Text Recognition (HTR) technology.
De Does, Jesse, Katrien Depuydt, Jesse de Does, Sánchez Peiró, Joan Andreu, Enrique Vidal, Davis, Richard M., Schofield, Philip, Depuydt, Katrien, Philip Schofield, Gatos, Basilis, Richard M. Davis, Basilis Gatos, Vidal, Enrique, Günter Mühlberger, Mühlberger, Günter, Joan Andreu Sánchez   +15 more
core   +1 more source

Assessing advanced handwritten text recognition engines for digitizing historical documents. [PDF]

Int J Digit Humanit
This study provides critical insights and evaluates the performance of state-of-the-art Handwritten Text Recognition (HTR) engines—PyLaia, HTR + , IDA, TrOCR-f, and Transkribus’ proprietary Transformer-based “supermodel” Titan—to digitize historical ...
Romein CA, Rabus A, Leifert G, Ströbel PB.   +3 more
europepmc   +3 more sources

The LAM Dataset: A Novel Benchmark for Line-Level Handwritten Text Recognition [PDF]

, 2022
Handwritten Text Recognition (HTR) is an open problem at the intersection of Computer Vision and Natural Language Processing. The main challenges, when dealing with historical manuscripts, are due to the preservation of the paper support, the variability
Cornia, Marcella, Maarand, Martin, Baraldi, Lorenzo, Cucchiara, Rita, Pippi, Vittorio, Silvia Cascianelli, Rita Cucchiara, Kermorvant, Christopher, Marcella Cornia, Lorenzo Baraldi, Cascianelli, Silvia, Martin Maarand, Christopher Kermorvant, Vittorio Pippi   +13 more
core   +1 more source

ICFHR2016 Competition on Handwritten Text Recognition on the READ Dataset [PDF]

, 2016
© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new ...
Toselli, Alejandro Héctor, Romero Gómez, Verónica, Joan Andreu Sanchez, Sánchez Peiró, Joan Andreu, Enrique Vidal, Vidal, Enrique, Veronica Romero, Alejandro H. Toselli   +7 more
core   +1 more source

AttentionHTR: Handwritten Text Recognition Based on Attention Encoder-Decoder Networks [PDF]

, 2022
This work proposes an attention-based sequence-to-sequence model for handwritten word recognition and explores transfer learning for data-efficient training of HTR systems.
Vats, Ekta, Kass, Dmitrijs
core   +4 more sources