Results 91 to 100 of about 134 (124)

Zur volldigitalisierten Editionsphilologie? Der Fall der «Handwritten Text Recognition» (HTR)

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HTR Ottoman Hackathon. Developing Handwritten Text Recognition Tools for the Analysis of Late Ottoman Population Registers, September 2024

LOOP – Late Ottoman Palestinians
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A Supplement to TRANSFUSION Abstract Presentations from the AABB Annual Meeting San Diego, CA, October 7-10, 2017. [PDF]

Transfusion, 2017
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HTR-Flor: A Deep Learning System for Offline Handwritten Text Recognition

2020 33rd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2020
In recent years, Handwritten Text Recognition (HTR) has captured a lot of attention among the researchers of the computer vision community. Current state-of-the-art approaches for offline HTR are based on Convolutional Recurrent Neural Networks (CRNNs) excel at scene text recognition. Unfortunately, deep models such as CRNNs, Recur-rent Neural Networks
Arthur Flor de Sousa Neto, Byron Leite Dantas Bezerra, Alejandro Hector Toselli, Estanislau Baptista Lima   +3 more
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Evaluating State-of-the-Art Handwritten Text Recognition (HTR) Engines; with Large Language Models (LLMs) for Historical Document Digitisation

2023
Handwritten Text Recognition engines play a pivotal role in transforming historical handwritten documents into machine‐readable formats, facilitating efficient access and analysis of invaluable information. We present a comprehensive evaluation of cutting‐edge Handwritten Text Recognition engines, including PyLaia, IDA, and TrOCR.
Leifert, Gundram, Romein, Christel Annemieke, Rabus, Achim, Ströbel, Phillip Benjamin, Kiessling, Benjamin, Hödel, Tobias   +5 more
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A Research on Handwritten Text Recognition (HTR) Strategies for English Words

2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), 2021
Anika Bhardwaj, Ankit Kumar Verma, Harshit Saxena   +2 more
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Handwritten Text Recognition (HTR) for Tibetan Manuscripts in Cursive Script

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.
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Handwritten Text Recognition(HTR) for Archival Collections

2021
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Text Preprocessing for Text Mining in Organizational Research: Review and Recommendations

Organizational Research Methods, 2022
Louis Hickman, Padmini Srinivasan
exaly