Results 71 to 80 of about 471 (152)

ICFHR2014 Competition on Handwritten Text Recognition on tranScriptorium Datasets (HTRtS) [PDF]

, 2014
©2014 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

Desbrossant el bosc infinit de les escriptures notarials

Estudis d'Història Agraria
Tot i que les escriptures notarials constitueixen una de les bases de la recerca en història agrària, coneixem poc com s’organitzaven l’activitat notarial i la seva clientela.
Rosa Congost, Ricard Garcia-Orallo, Jordi Regincós, Enric Saguer   +3 more
doaj   +1 more source

NorHand v2 / Dataset for Handwritten Text Recognition in Norwegian [PDF]

<div>This dataset comprises Norwegian letter and diary documents from 19th and early 20th century.
Solberg, Per Erik, Beyer, Yngvil
core   +3 more sources

Handwritten Text Recognition of Ukrainian Manuscripts in the 21st Century: Possibilities, Challenges, and the Future of the First Generic AI-based Model

Kyiv-Mohyla Humanities Journal
This article reports on developing and evaluating a generic Handwritten Text Recognition (HTR) model created for the automatic computer-assisted transcription of Ukrainian handwriting publicly available via the HTR platform Transkribus.
Aleksej Tikhonov, Achim Rabus
doaj   +1 more source

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation

The digitization and accurate recognition of handwritten historical documents remain crucial for preserving cultural heritage and making historical archives accessible to researchers and the public. Despite significant advances in deep learning, current Handwritten Text Recognition (HTR) systems struggle with the inherent complexity of historical ...
Mohammed Hamdan, Abderrahmane Rahiche, Mohamed Cheriet   +2 more
openaire   +2 more sources

The Use of Generative Artificial Intelligence in the Digitisation of Printed and Manuscript Documents and Its Contribution to Historical and Archival Education

Pedagogika
Objectives: This study examines how contemporary generative language models can support archival and historical work with Czech handwritten texts, focusing on transcription and basic preliminary analysis, and it outlines key limitations and ethical ...
Klára Rybenská, Sylva Sklenářová
doaj   +7 more sources

Revolucionar el acceso al patrimonio librario: los sistemas de HTR entre humanidades digitales y ciencia de la información

Philologia Hispalensis
El presente trabajo busca ofrecer un estado de la cuestión sobre los recientes desarrollos en el campo de la transcripción automática de impresos antiguos y manuscritos con sistemas de HTR (Handwritten Text Recognition), fijando la atención ...
Stefano Bazzaco
doaj   +1 more source

GraDeT-HTR: A Resource-Efficient Bengali Handwritten Text Recognition System utilizing Grapheme-based Tokenizer and Decoder-only Transformer

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
Despite Bengali being the sixth most spoken language in the world, handwritten text recognition (HTR) systems for Bengali remain severely underdeveloped. The complexity of Bengali script--featuring conjuncts, diacritics, and highly variable handwriting styles--combined with a scarcity of annotated datasets makes this task particularly challenging.
Md. Mahmudul Hasan, Ahmed Nesar Tahsin Choudhury, Mahmudul Hasan 0022, Md. Mosaddek Khan   +3 more
openaire   +2 more sources

Handwritten text recognition system using Raspberry Pi with OpenCV TensorFlow [PDF]

Handwritten text recognition (HTR) technology has brought about a revolution in the way handwritten data is converted and analyzed. This proposed work focuses on developing a HTR system using deep learning through advanced deep learning architecture and ...
Ogunshola, Benny, Yaacob, Noorayisahbe Mohd, Jie, Tommy Lee Chuin, Bacarra, Rex, Alsayaydeh, Jamil Abedalrahim Jamil   +4 more
core   +2 more sources

Reconhecimento automático de manuscritos para o teste de idiomas não latinos

The Programming Historian em Português
Este tutorial tem como objetivo descrever as boas práticas para a criação de conjuntos de dados e para a especialização dos modelos em função de um projeto HTR (Handwritten Text Recognition – em português, Reconhecimento de Texto Manuscrito) ou OCR ...
Chahan Vidal-Gorène
doaj   +1 more source