Results 41 to 50 of about 42,098,161 (146)

Navigating the Digitization Gap: An Indirect Evidence Synthesis of AI Methods for Low-Resource Chagatai Manuscripts

Information
Many historical handwritten records in low-resource languages remain difficult to access through modern digital systems. This limits efforts to preserve and study cultural heritage at scale.
Zhanibek Balabayev, Svitlana Biloshchytska, Beibit Abdikenov, Tomiris Zhaksylyk, Birzhan Ayanbayev, Dimash Rakishev   +5 more
doaj   +1 more source

ResneSt-Transformer: Joint attention segmentation-free for end-to-end handwriting paragraph recognition model

Array, 2023
Offline handwritten text recognition (HTR) typically relies on segmented text-line images for training and transcription. However, acquiring line-level position and transcript information can be challenging and time-consuming, while automatic line ...
Mohammed Hamdan, Mohamed Cheriet
doaj   +1 more source

HTR-ConvText: Leveraging Convolution and Textual Information for Handwritten Text Recognition

CoRR
Handwritten Text Recognition remains challenging due to the limited data, high writing style variance, and scripts with complex diacritics. Existing approaches, though partially address these issues, often struggle to generalize without massive synthetic data.
Pham Thach Thanh Truc, Dang Hoai Nam, Huynh Tong Dang Khoa, Vo Nguyen Le Duy   +3 more
openaire   +2 more sources

Automation of historical weather data rescue

Geoscience Data Journal, Volume 12, Issue 1, January 2025.
Data rescuers worldwide have been trying to automate the retrieval of millions of handwritten weather historical records. We propose a workflow that uses artificial intelligence to automate these handwritten observations. The workflow is tested using the historical climate records from the Data Rescue: Archives and Weather project. We hope the workflow
Y. Zhang, R. E. Sieber
wiley   +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tranScriptorium project aims to develop innovative, efficient and cost-effective solutions for annotating handwritten historical documents using modern, holistic Handwritten Text Recognition (HTR) technology.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

Tools for Historical Handwritten Document Analysis

Digital Presentation and Preservation of Cultural and Scientific Heritage
Accessing historical documents requires an effective toolbox that comprises several technologies within the area of document image analysis. In this paper, we focus on Handwritten Text recognition (HTR) and Keyword spotting (KS) for which we present ...
Ioannis Pratikakis
doaj   +1 more source

Los modelos de HTR Silves1549_BNE y Spanish Gothic como herramientas de la labor ecdótica

Historias Fingidas, 2022
Esta contribución informa de la aplicación a textos áureos impresos en letra gótica de dos modelos de transcripción automatizada realizados dentro de la plataforma Transkribus.
Giada Blasut
doaj   +1 more source

Transcription of Spanish Historical Handwritten Documents with Deep Neural Networks

Journal of Imaging, 2018
The digitization of historical handwritten document images is important for the preservation of cultural heritage. Moreover, the transcription of text images obtained from digitization is necessary to provide efficient information access to the content ...
Emilio Granell, Edgard Chammas, Laurence Likforman-Sulem, Carlos-D. Martínez-Hinarejos, Chafic Mokbel, Bogdan-Ionuţ Cîrstea   +5 more
doaj   +1 more source

Implementation of a Human-Computer Interface for Computer Assisted Translation and Handwritten Text Recognition [PDF]

, 2012
A human-computer interface is developed to provide services of computer assisted machine translation (CAT) and computer assisted transcription of handwritten text images (CATTI). The back-end machine translation (MT) and handwritten text recognition (HTR)
Ocampo Sepúlveda, Jorge Carlos
core  

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