https://oldena.lpnu.ua/handle/ntb/51711| Title: | Mobile system for text recognition and translation with using Microsoft Cognitive API |
| Authors: | Vavruk, Evgen Kushnir, Dmytro |
| Affiliation: | Lviv Polytechnic National University |
| Bibliographic description (Ukraine): | Vavruk E. Mobile system for text recognition and translation with using Microsoft Cognitive API / Evgen Vavruk, Dmytro Kushnir // Litteris et Artibus : proceedings, 23–25 November 2018, Lviv. — Lviv : Lviv Politechnic Publishing House, 2018. — P. 81–84. — (10th International academic conference “Computer science & engineering 2018”). |
| Bibliographic description (International): | Vavruk E. Mobile system for text recognition and translation with using Microsoft Cognitive API / Evgen Vavruk, Dmytro Kushnir // Litteris et Artibus : proceedings, 23–25 November 2018, Lviv. — Lviv : Lviv Politechnic Publishing House, 2018. — P. 81–84. — (10th International academic conference “Computer science & engineering 2018”). |
| Is part of: | Litteris et Artibus : proceedings, 2018 |
| Conference/Event: | 8th International youth science forum «Litteris et Artibus» |
| Journal/Collection: | Litteris et Artibus : proceedings |
| Issue Date: | 22-Nov-2018 |
| Publisher: | Видавництво Львівської політехніки Lviv Politechnic Publishing House |
| Place of the edition/event: | Львів Lviv |
| Temporal Coverage: | 23–25 November 2018, Lviv |
| Keywords: | OCR Xamarin program interfaces REST machine learning Microsoft cognitive API |
| Number of pages: | 4 |
| Page range: | 81-84 |
| Start page: | 81 |
| End page: | 84 |
| Abstract: | The solution of handwritten and printed text processing problem with subsequent translation in such mobile platforms like Android and IOS is proposed. It was demonstrated method of fully cross-platform solutions development for large mobile systems. It was implemented system with the base on general algorithm of text recognition and processing using Microsoft Cognitive API. |
| URI: | https://ena.lpnu.ua/handle/ntb/51711 |
| ISBN: | 978-966-941-294-2 |
| Copyright owner: | © Національний університет “Львівська політехніка”, 2018 |
| URL for reference material: | https://docs.microsoft.com/ruru/azure/machine-learning/machine-learning-what-is-machine-learning https://azure.microsoft.com/en-us/services/cognitive-services http://it-ua.info/news/2017/02/03/scho-rozrobniki-xamarin-povinn-znati-na-pochatok2017-roku |
| References (Ukraine): | [1] Microsoft, “Machine Learning documentation” internet: https://docs.microsoft.com/ruru/azure/machine-learning/machine-learning-what-is-machine-learning, Oct. 20, 2018 [2] Microsoft, “Microsoft Cognitive Services documentation” internet: https://azure.microsoft.com/en-us/services/cognitive-services , Aug. 27, 2018 [3] O. Olekseev, “What Xanarin developers should know at the beginning of 2017” internet: http://it-ua.info/news/2017/02/03/scho-rozrobniki-xamarin-povinn-znati-na-pochatok2017-roku, Mar. 02, 2017. |
| References (International): | [1] Microsoft, "Machine Learning documentation" internet: https://docs.microsoft.com/ruru/azure/machine-learning/machine-learning-what-is-machine-learning, Oct. 20, 2018 [2] Microsoft, "Microsoft Cognitive Services documentation" internet: https://azure.microsoft.com/en-us/services/cognitive-services , Aug. 27, 2018 [3] O. Olekseev, "What Xanarin developers should know at the beginning of 2017" internet: http://it-ua.info/news/2017/02/03/scho-rozrobniki-xamarin-povinn-znati-na-pochatok2017-roku, Mar. 02, 2017. |
| Content type: | Conference Abstract |
| Appears in Collections: | Litteris et Artibus. – 2018 р. |
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2018_Vavruk_E-Mobile_system_for_text_recognition_81-84.pdf | 115.02 kB | Adobe PDF | View/Open | |
| 2018_Vavruk_E-Mobile_system_for_text_recognition_81-84__COVER.png | 336.01 kB | image/png | View/Open |
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