Please use this identifier to cite or link to this item: http://ena.lp.edu.ua:8080/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: http://ena.lp.edu.ua:8080/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.



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