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20132023
most citedMultiple Document Datasets Pre-training Improves Text Line Detection With Deep Neural Networks

44 citations · 133 across the 13 of their papers we have counts for

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Showing 2023 · cs.CVShow all

5 papers · 2 filters

cs.CV2023

Handwritten Text Recognition from Crowdsourced Annotations

Solène Tarride, Tristan Faine, Mélodie Boillet +2

In this paper, we explore different ways of training a model for handwritten text recognition when multiple imperfect or noisy transcriptions are available. We consider various tra…

cs.CV2023

How to Choose Pretrained Handwriting Recognition Models for Single Writer Fine-Tuning

Vittorio Pippi, Silvia Cascianelli, Christopher Kermorvant +1

Recent advancements in Deep Learning-based Handwritten Text Recognition (HTR) have led to models with remarkable performance on both modern and historical manuscripts in large benc…

cs.CV2023★ 14 cited

Large Scale Genealogical Information Extraction From Handwritten Quebec Parish Records

Solène Tarride, Martin Maarand, Mélodie Boillet +4

This paper presents a complete workflow designed for extracting information from Quebec handwritten parish registers. The acts in these documents contain individual and family info…

cs.CV2023

SIMARA: a database for key-value information extraction from full pages

Solène Tarride, Mélodie Boillet, Jean-François Moufflet +1

We propose a new database for information extraction from historical handwritten documents. The corpus includes 5,393 finding aids from six different series, dating from the 18th-2…

cs.CV2023

Key-value information extraction from full handwritten pages

Solène Tarride, Mélodie Boillet, Christopher Kermorvant

We propose a Transformer-based approach for information extraction from digitized handwritten documents. Our approach combines, in a single model, the different steps that were so…