Results 61 to 70 of about 471 (152)

Exploring Data Provenance in Handwritten Text Recognition Infrastructure: Sharing and Reusing Ground Truth Data, Referencing Models, and Acknowledging Contributions. Starting the Conversation on How We Could Get It Done [PDF]

Journal of Data Mining and Digital Humanities
This paper discusses best practices for sharing and reusing Ground Truth in Handwritten Text Recognition infrastructures, as well as ways to reference and acknowledge contributions to the creation and enrichment of data within these systems.
C. Annemieke Romein, Tobias Hodel, Femke Gordijn, Joris J. van Zundert, Alix Chagué, Milan van Lange, Helle Strandgaard Jensen, Andy Stauder, Jake Purcell, Melissa M. Terras, Pauline van den Heuvel, Carlijn Keijzer, Achim Rabus, Chantal Sitaram, Aakriti Bhatia, Katrien Depuydt, Mary Aderonke Afolabi-Adeolu, Anastasiia Anikina, Elisa Bastianello, Lukas Vincent Benzinger, Arno Bosse, David Brown, Ash Charlton, André Nilsson Dannevig, Klaas van Gelder, Sabine C.P.J. Go, Marcus J.C. Goh, Silvia Gstrein, Sewa Hasan, Stefan von der Heide, Maximilian Hindermann, Dorothee Huff, Ineke Huysman, Ali Idris, Liesbeth Keijzer, Simon Kemper, Sanne Koenders, Erika Kuijpers, Lisette Rønsig Larsen, Sven Lepa, Tommy O. Link, Annelies van Nispen, Joe Nockels, Laura M. van Noort, Joost Johannes Oosterhuis, Vivien Popken, María Estrella Puertollano, Joosep J. Puusaag, Ahmed Sheta, Lex Stoop, Ebba Strutzenbladh, Nicoline van der Sijs, Jan Paul van der Spek, Barry Benaissa Trouw, Geertrui Van Synghel, Vladimir Vučković, Heleen Wilbrink, Sonia Weiss, David Joseph Wrisley, Riet Zweistra   +59 more
doaj   +1 more source

Handwritten Text Recognition for notarial registers (15th-16th centuries): an experiment

Umanistica Digitale, 2022
The report describes the experimentation of automatic handwriting recognition with the Transkribus platform for some registers of a late fifteenth/early sixteenth-century Benevento notary, with the goal of creating an automatic transcription that ...
Vera Isabell Schwarz-Ricci
doaj   +1 more source

The Digital Revolution in Slavic Manuscript Studies: HTR Technology and its Impact on Philological Research

Studi Slavistici
The paper highlights the recent advances of computer-assisted manuscript transcription using Handwritten Text Recognition (HTR) programs such as Transkribus.
Achim Rabus, Martin Meindl
doaj   +1 more source

Sistemas de reconocimiento de textos e impresos hispánicos de la Edad Moderna. La creación de unos modelos de HTR para la transcripción automatizada de documentos en gótica y redonda (s. XV-XVII)

Historias Fingidas, 2022
El trabajo presenta los recientes logros en el campo del reconocimiento de textos llevado a cabo en 2021 gracias a la colaboración entre los siguientes proyectos: Progetto Mambrino (Univ. de Verona), BIDISO (Univ. de A Coruña) y COMEDIC (Univ.
Stefano Bazzaco, Ana Milagros Jiménez Ruiz, Ángela Torralba Ruberte, Mónica Martín Molares   +3 more
doaj   +1 more source

Handwritten Text Recognition in Medieval Germanic Manuscripts: The Peterborough Chronicle as a Case Study

Filologia Germanica
Over the past few decades, the mass digitisation of repositories has called for urgent development of computational methods to yield access to their contents.
Elisabetta Magnanti
doaj   +1 more source

Improvement in Efficiency of The State-Of-The-Art Handwritten Text Recognition Models [PDF]

, 2021
In the past few years, the research in the discipline of Handwritten Text Recognition (HTR) has been fast-tracked as many researchers in computer vision are pursuing this discipline.
et. al., Sai Suryateja S,
core   +1 more source

Transcribing Medieval Manuscripts for Machine Learning [PDF]

Journal of Data Mining and Digital Humanities
This article focuses on the transcription of medieval manuscripts. Whereas problems of transcription have long interested medievalists, few workable options in the era of printed editions were available besides normalisation.
Estelle Guéville, David Joseph Wrisley
doaj   +1 more source

Handwritten Text Recognition (HTR) for Tibetan Manuscripts in Cursive Script

Revue d’Études Tibétaines
The use of advanced computational methods for the analysis of digitised texts is becoming increasingly popular in humanities and social science research. One such technology is Handwritten Text Recognition (HTR), which generates transcripts from digitised texts with machine learning approaches, to enable full-text search and analysis.
  +4 more sources

HTSR-Pollen: Handwritten Text Synthesis and Recognition System to Overcome Data Scarcity

IEEE Access
Offline Handwritten Text Recognition (HTR) systems recognize and transcribe handwritten text from scanned images into digital formats. The field has become important due to the need for document digitization and data entry automation in various ...
Arthur F. S. Neto, Byron L. D. Bezerra, Alejandro H. Toselli   +2 more
doaj   +1 more source

Bernoulli HMMs for Handwritten Text Recognition [PDF]

, 2014
In last years Hidden Markov Models (HMMs) have received significant attention in the task off-line handwritten text recognition (HTR). As in automatic speech recognition (ASR), HMMs are used to model the probability of an observation sequence, given ...
Giménez Pastor, Adrián
core   +1 more source