Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Hassina Bouressace"'
Autor:
Hassina Bouressace
Publikováno v:
Cognitive Studies | Études cognitives, Iss 23 (2023)
A frequency dictionary of printed Arabic text is essential for natural language processing. It includes 1,251 XML files of Arabic documents collected from ten newspapers and magazines from different countries and created as the PATD database. A total
Externí odkaz:
https://doaj.org/article/31357705740943c796933ef190f06aa4
Autor:
Hassina Bouressace
Publikováno v:
2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::912d0816045791f4d1c83a6ad2f7f2b7
https://doi.org/10.1109/pais56586.2022.9946919
https://doi.org/10.1109/pais56586.2022.9946919
Autor:
János Csirik, Hassina Bouressace
Publikováno v:
ISSPIT
In this study we apply a CNN (convolutional neural network) to segment a document image into its page components. Our approach consists of two main steps. Firstly, there is a new method of extracting layouts based on sharpness/smoothing filters, adap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa20397166b14b9eeb4693d3d4a53885
https://doi.org/10.1109/isspit47144.2019.9001779
https://doi.org/10.1109/isspit47144.2019.9001779
Autor:
János Csirik, Hassina Bouressace
Publikováno v:
Proceedings of the 2019 5th International Conference on Computer and Technology Applications.
Document image analysis and recognition are important topics in artificial intelligence as they are necessary for the retrieval of documents. Hence, the availability of a database with good script samples is a key requirement for machine-learning pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f085a78ec3a752c918186aa743052a4
https://doi.org/10.1145/3323933.3324082
https://doi.org/10.1145/3323933.3324082
Autor:
János Csirik, Hassina Bouressace
Publikováno v:
Text, Speech, and Dialogue ISBN: 9783030279462
TSD
TSD
Arabic word spotting is a key step for Arabic NLP and the text recognition task. Many recent studies have addressed segmentation problems in the Arabic language. However, many issues still have to be overcome. In this paper, we propose a new approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d4a826ba4a66809e4331c0f5b764f29
https://doi.org/10.1007/978-3-030-27947-9_11
https://doi.org/10.1007/978-3-030-27947-9_11
Autor:
János Csirik, Hassina Bouressace
Publikováno v:
Text, Speech, and Dialogue ISBN: 9783030007935
TSD
TSD
In document analysis and recognition, we seek to apply methods of automatic document identification. The main goal is to go from a simple image to a structured set of information exploitable by machine. Here, we present a system for recognizing the l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3c4257883031ba47e9b1d32f5282219
https://doi.org/10.1007/978-3-030-00794-2_27
https://doi.org/10.1007/978-3-030-00794-2_27