Zobrazeno 1 - 10
of 245
pro vyhledávání: '"document recognition"'
Publikováno v:
IEEE Access, Vol 12, Pp 55620-55631 (2024)
In recent years, Optical character recognition (OCR) has experienced a resurgence of interest especially for contemporary Arabic data. In fact, OCR development for printed and handwritten Arabic script is still a challenging task. These challenges ar
Externí odkaz:
https://doaj.org/article/83ba6e1c8ae64ecd9a6c89df79ba41e6
Publikováno v:
Intelligent Systems with Applications, Vol 22, Iss , Pp 200358- (2024)
Handwritten document recognition and classification are among the many computers related issues being studied for digitizing handwritten data. A handwritten document comprises text, diagrams, mathematical expressions, numerals, and tables. Due to the
Externí odkaz:
https://doaj.org/article/0760b2cec19945558a8d5eb07e76a023
Autor:
R. Sánchez-Rivero, P.V. Bezmaternykh, A.V. Gayer, A. Morales-González, F. José Silva-Mata, K.B. Bulatov
Publikováno v:
Компьютерная оптика, Vol 47, Iss 4, Pp 627-636 (2023)
Text recognition has benefited considerably from deep learning research, as well as the preprocessing methods included in its workflow. Identity documents are critical in the field of document analysis and should be thoroughly researched in relation
Externí odkaz:
https://doaj.org/article/e262613e5eed4eaaa87175094a8af74b
Autor:
O. A. Slavin
Publikováno v:
Sistemnyj Analiz i Prikladnaâ Informatika, Vol 0, Iss 4, Pp 60-64 (2023)
The document categorization problem in the case of a large business document flow is considered. Textual and visual embeddings were employed for classification. Textual embeddings were extracted via OCR Tesseract. The Viola and Jones method was appli
Externí odkaz:
https://doaj.org/article/922c6c5eadff4cc58ffd0029da62d89d
Akademický článek
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Autor:
V.V. Arlazarov, E.I. Andreeva, K.B. Bulatov, D.P. Nikolaev, O.O. Petrova, B.I. Savelev, O.A. Slavin
Publikováno v:
Компьютерная оптика, Vol 46, Iss 4, Pp 567-589 (2022)
This paper analyzes the problems of document image recognition and the existing solutions. Document recognition algorithms have been studied for quite a long time, but despite this, currently, the topic is relevant and research continues, as evidence
Externí odkaz:
https://doaj.org/article/6064974a6dab497b9ba95c33ae137cff
Publikováno v:
Компьютерная оптика, Vol 46, Iss 3, Pp 436-454 (2022)
Identity documents recognition is far beyond classical optical character recognition problems. Automated ID document recognition systems are tasked not only with the extraction of editable and transferable data but with performing identity validation
Externí odkaz:
https://doaj.org/article/53a86be1c2724e19b41e1be218194e5d
Autor:
K.B. Bulatov, E.V. Emelianova, D.V. Tropin, N.S. Skoryukina, Y.S. Chernyshova, A.V. Sheshkus, S.A. Usilin, Z. Ming, J.-C. Burie, M.M. Luqman, V.V. Arlazarov
Publikováno v:
Компьютерная оптика, Vol 46, Iss 2, Pp 252-270 (2022)
Identity documents recognition is an important sub-field of document analysis, which deals with tasks of robust document detection, type identification, text fields recognition, as well as identity fraud prevention and document authenticity validatio
Externí odkaz:
https://doaj.org/article/3d6b32fd71014f62a55306ba6bfabf14
Publikováno v:
Computer Science Journal of Moldova, Vol 28, Iss 3(84), Pp 223-240 (2020)
The paper discusses problems of heterogeneous texts digitization. The archives of scanned printed documents grow dramatically by results of projects concerning cultural heritage preserving. Manual annotations of scanned document images and per page s
Externí odkaz:
https://doaj.org/article/6dab66c5d89446869bc134ba836de95a
Akademický článek
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