Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Tewodros Habtegebrial"'
Autor:
Birhanu Belay, Tewodros Habtegebrial, Million Meshesha, Marcus Liwicki, Gebeyehu Belay, Didier Stricker
Publikováno v:
Applied Sciences, Vol 10, Iss 3, p 1117 (2020)
In this paper, we introduce an end-to-end Amharic text-line image recognition approach based on recurrent neural networks. Amharic is an indigenous Ethiopic script which follows a unique syllabic writing system adopted from an ancient Geez script. Th
Externí odkaz:
https://doaj.org/article/f9807535c08a468586a6979c4612533f
Publikováno v:
ICPRAM
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c395b89d574406d2969c85e1207bdbee
https://doi.org/10.5220/0010284204350441
https://doi.org/10.5220/0010284204350441
Autor:
Marcus Liwicki, Tewodros Habtegebrial, Gebeyehu Belay, Birhanu Hailu Belay, Million Meshesha, Didier Stricker
Publikováno v:
Applied Sciences
Volume 10
Issue 3
Applied Sciences, Vol 10, Iss 3, p 1117 (2020)
Volume 10
Issue 3
Applied Sciences, Vol 10, Iss 3, p 1117 (2020)
In this paper, we introduce an end-to-end Amharic text-line image recognition approach based on recurrent neural networks. Amharic is an indigenous Ethiopic script which follows a unique syllabic writing system adopted from an ancient Geez script. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68adb4f587ac969071103b8539cbf2d5
Publikováno v:
ICPRAM
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8a95fd5842d6ca2801860f20f3c8c00
https://doi.org/10.5220/0008940704400445
https://doi.org/10.5220/0008940704400445
Publikováno v:
ICIP
In this paper we propose a novel CNN based approach for Amharic character image recognition. The proposed method is designed by leveraging the structure of Amharic graphemes. Amharic characters could be decomposed in to a consonant and a vowel. As a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14ce7a19698f382a02f356f73404aa6e
https://doi.org/10.1109/icip.2019.8804407
https://doi.org/10.1109/icip.2019.8804407
Publikováno v:
WHISPERS
In this paper we introduce a novel demosaicking algorithm for snashot hyperspectral images. Snapshot cameras allow real-time hyper spectral imaging in uncontrolled environments. However, snapshot cameras with K bands capture only a single frequency b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba2a53f90caea1df48755cea857667b5
https://doi.org/10.1109/whispers.2019.8921273
https://doi.org/10.1109/whispers.2019.8921273
Publikováno v:
2018 IEEE 18th International Conference on Communication Technology (ICCT).
In this paper we introduce Convolutional Neural Network (CNN) based method for Amharic character image recognition. We also introduce a dataset for training purposes. The proposed method has less pre-processing steps and out per- forms the state-of-t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9e8b47f031280bea62b76d1bf49e291
https://doi.org/10.1109/icct.2018.8599888
https://doi.org/10.1109/icct.2018.8599888
Publikováno v:
BMVC
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4fee6056afe4b0bc9a8dabf686a2b66b
https://doi.org/10.5244/c.31.101
https://doi.org/10.5244/c.31.101