Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Historical Document Processing"'
Publikováno v:
Компьютерная оптика, Vol 43, Iss 5, Pp 825-832 (2019)
Image binarization is still a challenging task in a variety of applications. In particular, Document Image Binarization Contest (DIBCO) is organized regularly to track the state-of-the-art techniques for the historical document binarization. In this
Externí odkaz:
https://doaj.org/article/8a8e9dc3c2f841f584d0470d8b3ccb75
Akademický článek
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Historical newspapers are mirrors of past societies, keeping track of the small and great history and reflecting the political, moral, and economic environments in which they were produced. Highly valued as primary sources by historians and humanitie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25f502abb3a4c6af97fe2e0c6d6c8472
https://zenodo.org/record/7608970
https://zenodo.org/record/7608970
Publikováno v:
Journal of Imaging, Vol 6, Iss 11, p 117 (2020)
This paper proposes a performance model for estimating the user time needed to transcribe small collections of handwritten documents using a keyword spotting system (KWS) that provides a number of possible transcriptions for each word image. The mode
Externí odkaz:
https://doaj.org/article/0cbca73e491449ae91a4de8233c3ce54
Autor:
Schwarz-Ricci, Vera Isabell
Rapporto tecnico sul riconoscimento automatico di scrittura per documenti storici.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8bc3eae27df8d0e6cc3c3e59d43400d7
https://openportal.ispc.cnr.it/doc?id=people______::4b1167634bb7c9512338f055242e9fe8
https://openportal.ispc.cnr.it/doc?id=people______::4b1167634bb7c9512338f055242e9fe8
Autor:
Schwarz-Ricci V. I.
Rapporto sul webinar "Handwritten Text Recognition for Manuscripts and Documents. Comparing Experiences"
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_____10604::8ac333c7eff2b352d3f99d8dd7e8020b
https://openportal.ispc.cnr.it/doc?id=people______::2556c9938de76942ae8e63912e1ee366
https://openportal.ispc.cnr.it/doc?id=people______::2556c9938de76942ae8e63912e1ee366
Publikováno v:
Компьютерная оптика, Vol 43, Iss 5, Pp 825-832 (2019)
Image binarization is still a challenging task in a variety of applications. In particular, Document Image Binarization Contest (DIBCO) is organized regularly to track the state-of-the-art techniques for the historical document binarization. In this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd5115039291d3634121ddf904eef159
http://computeroptics.ru/KO/PDF/KO43-5/430516.pdf
http://computeroptics.ru/KO/PDF/KO43-5/430516.pdf
Autor:
Enrique Vidal, Verónica Romero, Emanuela Boros, Jitka Kreckova, Martin Maarand, Katerina Zenklova, Dominique Stutzmann, Christopher Kermorvant
Publikováno v:
2020 17th International Conference on Frontiers in Handwriting Recognition (ICFHR)
2020 17th International Conference on Frontiers in Handwriting Recognition (ICFHR), Sep 2020, Dortmund, Germany. pp.79-84, ⟨10.1109/ICFHR2020.2020.00025⟩
ICFHR
2020 17th International Conference on Frontiers in Handwriting Recognition (ICFHR), Sep 2020, Dortmund, Germany. pp.79-84, ⟨10.1109/ICFHR2020.2020.00025⟩
ICFHR
International audience; This paper introduces a new corpus of multilin-gual medieval handwritten charter images, annotated with fulltranscription and named entities. The corpus is used to com-pare two approaches for named entity recognition in histor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1288b5acb28b6e2e7828dedc12efa332
https://hal.archives-ouvertes.fr/hal-02935087
https://hal.archives-ouvertes.fr/hal-02935087
Publikováno v:
ICDAR
We propose a model for estimating the time to transcribe a large collection of historical handwritten documents when the transcription is assisted by a keyword spotting system following the query-by-string approach. The model assumes that the system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::318d2c2751969f33cb0da7b8a2a3d65c
http://hdl.handle.net/11580/70864
http://hdl.handle.net/11580/70864
Publikováno v:
Journal of Imaging
Volume 6
Issue 11
Journal of Imaging, Vol 6, Iss 117, p 117 (2020)
Volume 6
Issue 11
Journal of Imaging, Vol 6, Iss 117, p 117 (2020)
This paper proposes a performance model for estimating the user time needed to transcribe small collections of handwritten documents using a keyword spotting system (KWS) that provides a number of possible transcriptions for each word image. The mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e71403f1a51c3be3bbdef3fd09e54dca
https://doi.org/10.3390/jimaging6110117
https://doi.org/10.3390/jimaging6110117