Výsledky vyhledávání - "Bertrand Coüasnon"

Combination of deep neural networks and logical rules for record segmentation in historical handwritten registers using few examples

Autor: Solène Tarride, Bertrand Coüasnon, Sophie Tardivel, Aurélie Lemaitre

Publikováno v: International Journal on Document Analysis and Recognition
International Journal on Document Analysis and Recognition, Springer Verlag, 2021, ⟨10.1007/s10032-021-00362-8⟩
International Journal on Document Analysis and Recognition, 2021, ⟨10.1007/s10032-021-00362-8⟩

International audience; This work focuses on the layout analysis of historical handwritten registers, in which local religious ceremonies were recorded. The aim of this work is to delimit each record in these registers. To this end, two approaches ar

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48c6e6be492dddc534cd27595affbb78
https://hal.archives-ouvertes.fr/hal-03160212/file/IJDAR_soumission(1).pdf

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A combined strategy of analysis for the localization of heterogeneous form fields in ancient pre-printed records

Autor: Cérès Carton, Bertrand Coüasnon, Aurélie Lemaitre, Jean Camillerapp

Publikováno v: International Journal on Document Analysis and Recognition
International Journal on Document Analysis and Recognition, Springer Verlag, 2018, 21(4) (269-282), ⟨10.1007/s10032-018-0309-y⟩
International Journal on Document Analysis and Recognition, 2018, 21(4) (269-282), ⟨10.1007/s10032-018-0309-y⟩

International audience; This paper deals with the location of handwritten fields in old pre-printed registers. The images present the difficulties of old and damaged documents, and we also have to face the difficulty of extracting the text due to the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a8cf8706edf8a8eddf8ed838cd08bcf
https://doi.org/10.1007/s10032-018-0309-y

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Combination of deep learning and syntactical approaches for the interpretation of interactions between text-lines and tabular structures in handwritten documents

Autor: Camille Guerry, Bertrand Coüasnon, Aurélie Lemaitre

Publikováno v: 15th International Conference on Document Analysis and Recognition (ICDAR)
15th International Conference on Document Analysis and Recognition (ICDAR), Sep 2019, Sydney, Australia
ICDAR

International audience; In this article, we present our work on baseline detection in images of historical documents. This work focuses on handwritten documents containing tabular structures. One of the difficulties of this kind of documents is the s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e079120642b6afec583b396b69470e66
https://hal.science/hal-02303293

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ICDAR2019 Competition on Historical Book Analysis -HBA2019

Autor: Maroua Mehri, Pierre Héroux, Jean-Philippe Moreux, Bertrand Coüasnon, Rémy Mullot, Bill Barrett

Publikováno v: 15th International Conference on Document Analysis and Recognition
15th International Conference on Document Analysis and Recognition, Sep 2019, Sydney, Australia
ICDAR

International audience; In this paper, we present an evaluative study of pixel-labeling methods using the HBA 1.0 dataset for historical book analysis. This study is held in the context of the 2 nd historical book analysis (HBA2019) competition and i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::baef903ce5317e4edd33db539cf41d7a
https://hal.science/hal-02490897/document

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Signature detection as a way to recognise historical parish register structure

Autor: Aurélie Lemaitre, Sophie Tardivel, Bertrand Coüasnon, Solène Tarride

Publikováno v: HIP 2019
HIP 2019, Sep 2019, Sydney, Australia. pp.54-59, ⟨10.1145/3352631.3352636⟩
HIP@ICDAR

International audience; This article deals with the analysis of pages of French parish registers from 16th to 18th century. These documents are structured in paragraphs called acts. Each act contains valuable demographic information that can be usefu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::555391cf0ac20fe86ab06bd7bd397b31
https://hal.archives-ouvertes.fr/hal-02433964

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CNN-Based Accidental Detection in Dense Printed Piano Scores

Autor: Bertrand Coüasnon, Richard Zanibbi, Yann Ricquebourg, Kwon-Young Choi

Publikováno v: ICDAR
15th International Conference on Document Analysis and Recognition
15th International Conference on Document Analysis and Recognition, Sep 2019, Sydney, Australia

International audience; The recognition of mid-18th to mid-20th century piano scores presents segmentation challenges caused by touching and broken symbols produced by imprinting techniques and time degradation. We present a new notehead accidental d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18b20fbceb4524c3192ac2c68613896d
https://doi.org/10.1109/icdar.2019.00082

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Handwritten Music Object Detection: Open Issues and Baseline Results

Autor: Yann Ricquebourg, Kwon-Young Choi, Horst Eidenberger, Alexander Pacha, Richard Zanibbi, Bertrand Coüasnon

Publikováno v: DAS
13th IAPR International Workshop on Document Analysis Systems
13th IAPR International Workshop on Document Analysis Systems, Apr 2018, Vienne, Austria

International audience; Optical Music Recognition (OMR) is the challenge of understanding the content of musical scores. Accurate detection of individual music objects is a critical step in processing musical documents, because a failure at this stag

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58d9c9f5ec71006185dffe2cd90c6e06
https://doi.org/10.1109/das.2018.51

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Discussion Group Summary: Graphics Syntax in the Deep Learning Age

Autor: Richard Zanibbi, Ashok C. Popat, Bertrand Coüasnon

Publikováno v: Lecture Notes in Computer Science ISBN: 9783030022839
GREC

This document summarizes the discussion of the interest group on Graphics Syntax in the Deep Learning Age that took place in the 12th IAPR International Workshop on Graphics Recognition (GREC).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::36ca9e3077df5007385504903dc2275c
https://doi.org/10.1007/978-3-030-02284-6_13

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