Results 21 to 30 of about 471 (152)
History Compass, Volume 19, Issue 8, August 2021., 2021 Abstract The past decade has seen tremendous growth and innovation in the use of digital resources, methods, and tools in the history of art and architecture. While digital art history is less developed than text‐based disciplines, the emergence of new digital standards for visual and spatial data, and advances in computer vision are poised to ...
Alexander Brey
wiley +1 more source
Text Recognition for Nepalese Manuscripts in Pracalit Script
Journal of Open Humanities Data, 2022 This dataset is a model for handwritten text recognition (HTR) of Sanskrit and Newar Nepalese manuscripts in Pracalit script. This paper introduces the state of the field in Newar literature, Newar manuscripts, and HTR engines.
Alexander James O’Neill, Nathan Hill
doaj +1 more source
Preparing Big Manuscript Data for Hierarchical Clustering with Minimal HTR Training [PDF]
Journal of Data Mining and Digital Humanities, 2023 HTR (Handwritten Text Recognition) technologies have progressed enough to offer high-accuracy results in recognising handwritten documents, even on a synchronous level.
Elpida Perdiki
doaj +1 more source
Handwritten Text Recognition for Documentary Medieval Manuscripts [PDF]
Journal of Data Mining and Digital Humanities, 2023 Handwritten Text Recognition (HTR) techniques aim to accurately recognize sequences of characters in input manuscript images by training artificial intelligence models to capture historical writing features.
Sergio Torres Aguilar, Vincent Jolivet
doaj +1 more source
Watch Your Strokes: Improving Handwritten Text Recognition with Deformable Convolutions [PDF]
, 2021 Handwritten Text Recognition (HTR) in free-layout pages is a valuable yet challenging task which aims to automatically understand handwritten texts. State-of-the-art approaches in this field usually encode input images with Convolutional Neural Networks,
Rita Cucchiara +4 more
core +1 more source
Context Conditioning via Surrounding Predictions for Non-Recurrent CTC Models
IEEE Access, 2023 Connectionist Temporal Classification (CTC) loss has become widely used in sequence modeling tasks such as Automatic Speech Recognition (ASR) and Handwritten Text Recognition (HTR) due to its ease of use.
Burin Naowarat +2 more
doaj +1 more source
Boosting Modern and Historical Handwritten Text Recognition with Deformable Convolutions [PDF]
, 2022 Handwritten Text Recognition (HTR) in free-layout pages is a challenging image understanding task that can provide a relevant boost to the digitization of handwritten documents and reuse of their content.
Cornia, Marcella +3 more
core +1 more source
Generic HTR Models for Medieval Manuscripts. The CREMMALab Project [PDF]
Journal of Data Mining and Digital Humanities, 2023 In the Humanities, the emergence of digital methods has opened up research questions to quantitative analysis. This is why HTR technology is increasingly involved in humanities research projects following precursors such as the Himanis project.
Ariane Pinche
doaj +1 more source
The role of the library when computers can read:Critically adopting Handwritten Text Recognition (HTR) technologies to support research [PDF]
, 2022 Computational approaches to processing and searching images of historical manuscripts by Handwritten Text Recognition (HTR) is one of the most promising machine learning approaches for academic research in the humanities, having the potential to transform access to our written past for the use of researchers, institutions, and the general public.
Terras, Melissa
openaire +3 more sources
Towards the Corpus of Latvian Romani Texts
Digital Humanities in the Nordic and Baltic Countries Publications, 2022 Latvian Romani is a Northeastern Romani dialect with a limited number of publicly available sources. Two large archival collections of texts in Latvian Romani, compiled primarily in the 1930s in Latvia and Estonia, have been recently digitized as ...
Natalia Perkova, Kirill Kozhanov
doaj +1 more source