Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Fouad Slimane"'
Publikováno v:
Applied Computational Intelligence and Soft Computing, Vol 2018 (2018)
Externí odkaz:
https://doaj.org/article/0405dcfa7c8443b2a0cd443ccfe52856
Publikováno v:
OST@ICDAR
This paper introduces a lightweight model for printed and handwritten text identification in document images, which is then deployed as a web service to enable easy integration into existing workflows. Identifying printed and handwritten text in docu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96ae3e79b77548da1540db3c1823339a
https://doi.org/10.1109/icdarw.2019.10033
https://doi.org/10.1109/icdarw.2019.10033
Autor:
Sameh Awaida, Fouad Slimane
Publikováno v:
Series in Machine Perception and Artificial Intelligence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83b5f44c01fcf5b946ed7adfbf4b7f7c
https://doi.org/10.1142/9789813229273_0006
https://doi.org/10.1142/9789813229273_0006
Autor:
Christine Vanoirbeek, Fouad Slimane
Publikováno v:
Series in Machine Perception and Artificial Intelligence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02747ef14c43e66d1633b4a803d30ad5
https://doi.org/10.1142/9789813229273_0009
https://doi.org/10.1142/9789813229273_0009
Publikováno v:
Applied Computational Intelligence and Soft Computing, Vol 2018 (2018)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94c61a62e19ea3cc0dc8a794599fa4db
https://doaj.org/article/0405dcfa7c8443b2a0cd443ccfe52856
https://doaj.org/article/0405dcfa7c8443b2a0cd443ccfe52856
Publikováno v:
ICDAR
This paper describes the organisation and results of the Arabic Recognition Competition: Multi-font Multi-size Digitally Represented Text held in the context of the 14th International Conference on Document Analysis and Recognition (ICDAR'2017), duri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15f95322b9d49ded85a869ccfc755f7f
https://doi.org/10.1109/icdar.2017.239
https://doi.org/10.1109/icdar.2017.239
Publikováno v:
IJCNN
This paper describes a web-based system for page segmentation and text recognition of historical documents. The system is organised following a pipeline of 4 steps : 1) digitisation, 2) preprocessing, 3) textline extraction, and 4) handwritten text r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fc47c1d495b71a69a310e60ebddedac
https://doi.org/10.1109/ijcnn.2017.7966192
https://doi.org/10.1109/ijcnn.2017.7966192
Publikováno v:
2017 International Conference on Smart, Monitored and Controlled Cities (SM2C).
Arabic text recognition systems encounter many difficulties in processing multi-font and multi-size text images. Some Arabic font families introduce complex variability such as overlaps and ligatures. In this case, developing a font recognition phase
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78f3d2aad208f06198ceeffbc31519ce
https://doi.org/10.1109/sm2c.2017.8071847
https://doi.org/10.1109/sm2c.2017.8071847
Publikováno v:
Pattern Recognition Letters. 34:209-218
In this paper, we propose a new font and size identification method for ultra-low resolution Arabic word images using a stochastic approach. The literature has proved the difficulty for Arabic text recognition systems to treat multi-font and multi-si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::252871e99d632ffccf0894b6118a64c7
https://doi.org/10.1016/j.patrec.2012.09.012
https://doi.org/10.1016/j.patrec.2012.09.012
Publikováno v:
ICCP
In this paper, we propose a new writing type and script text classification technique to recognize the identity of texts extracted from heterogeneous document images. English, French and Arabic languages are used in these documents with mixed handwri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54ed26c941a1ed31a2b27e2082ee17aa
https://doi.org/10.1109/iccp.2016.7737168
https://doi.org/10.1109/iccp.2016.7737168