Zobrazeno 1 - 10
of 1 179
pro vyhledávání: '"historical document"'
Autor:
Gogawale, Sharva, Bambaci, Luigi, Kurar-Barakat, Berat, Vasyutinsky Shapira, Daria, Stökl Ben Ezra, Daniel, Dershowitz, Nachum
Publikováno v:
magazén, Vol 5, Iss 2, Pp - (2024)
Within the domain of historical document image analysis, the process of identifying the spatial structure of a document image is an essential step in many document processing tasks, such as optical character recognition and information extraction. Ad
Externí odkaz:
https://doaj.org/article/5a14460f4446400eb14170cb6a990d3d
Autor:
Akmal Shafiq Badarul Azam, Abdul Kadir Jumaat, Amisha Balkis Badarul Azam, Nur Afiqah Sabirah Mohammad Sabri, Amiratul Munirah Yahaya, Ahmad Thaqif Ismail, Muhammad Anas Abdul Razak, Mohd Azdi Maasar, Mohamed Faris Laham
Publikováno v:
Journal of ICT, Vol 23, Iss 4 (2024)
Old Jawi Manuscripts (OJM) are crucial to historical studies, offering insights into past societies. However, degradation from mishandling and environmental factors can impair their legibility. To preserve OJM, image inpainting and segmentation are e
Externí odkaz:
https://doaj.org/article/36a5fccad99b4808ad4c32cc719a7c18
Publikováno v:
Applied Sciences, Vol 14, Iss 16, p 7355 (2024)
Manual transcription of music is a tedious work, which can be greatly facilitated by optical music recognition (OMR) software. However, OMR software is error prone in particular for older handwritten documents. This paper introduces and evaluates a p
Externí odkaz:
https://doaj.org/article/6210835ae92a4a7e808566207f109ebc
Publikováno v:
Land, Vol 13, Iss 8, p 1122 (2024)
Studying changes in land use per capita is critical for understanding the interactions between humans and ecosystems, and for modeling the impacts of land use changes on climate systems. However, many uncertainties in historical estimates significant
Externí odkaz:
https://doaj.org/article/198c0f826b3547808b6627e61a0efb34
Autor:
Thibault Clérice
Publikováno v:
Journal of Data Mining and Digital Humanities, Vol Historical Documents and... (2023)
Layout Analysis (the identification of zones and their classification) is the first step along line segmentation in Optical Character Recognition and similar tasks. The ability of identifying main body of text from marginal text or running titles mak
Externí odkaz:
https://doaj.org/article/7b25fd07d3b84644b18d14b5ead79025
Autor:
Daniela Kodajová
Publikováno v:
Slovenska Literatura, Vol 70, Iss 1, Pp 86-95 (2023)
Andrej Sládkovič (1820 – 1872) was not only a priest and a poet: he also wrote reports from cultural and political events and provided feedback to the works of others. Among other things, he considerably contributed to the publication of the minu
Externí odkaz:
https://doaj.org/article/95362bcc05ef4762be76fa1111ffa79e
Autor:
Gallagher Nicole, Muller Theron
Publikováno v:
Open Linguistics, Vol 9, Iss 1, Pp p. 1-9 (2023)
The dominance of English in academic discourses is well established, with increased English publication used to evidence its increasing use at the expense of national language publication. However, while English publication frequency has increased ov
Externí odkaz:
https://doaj.org/article/129315c8103942e2a3200c0631f33a67
Autor:
Florian Côme Fizaine, Patrick Bard, Michel Paindavoine, Cécile Robin, Edouard Bouyé, Raphaël Lefèvre, Annie Vinter
Publikováno v:
Journal of Imaging, Vol 10, Iss 3, p 65 (2024)
Text line segmentation is a necessary preliminary step before most text transcription algorithms are applied. The leading deep learning networks used in this context (ARU-Net, dhSegment, and Doc-UFCN) are based on the U-Net architecture. They are eff
Externí odkaz:
https://doaj.org/article/16debf92d3ea4e53b5b970858096f199
Autor:
Xiaojuan Wang, Weilan Wang
Publikováno v:
Applied Sciences, Vol 14, Iss 5, p 2142 (2024)
As there is a lack of public mark samples of Tibetan historical document image characters at present, this paper proposes an unsupervised Tibetan historical document character recognition method based on deep learning (UD-CNN). Firstly, using the Tib
Externí odkaz:
https://doaj.org/article/0b3897901ba14d42836aae2c7d1947f5
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