Results 21 to 30 of about 42,098,161 (146)
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
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
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
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
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
Handwritten Text Recognition and Linguistic Research
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 +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
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 +1 more source