Implementation and Testing of Text Recognition Algorithm on Mobile Devices
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Keywords

image recognition, program, application

How to Cite

Choporov, O., Lvovich, I., & Štefanovič, J. (2023). Implementation and Testing of Text Recognition Algorithm on Mobile Devices. Information Technology Applications, 8(1), 99–116. Retrieved from https://www.itajournal.com/index.php/ita/article/view/64

Abstract

A large number of people every day are faced with a situation where they need to transfer the text from the image or various documents to digital format. This is a routine work that requires a lot of time, care and effort. In most cases, a mobile phone, unlike a scanner, is always there. The mobile application will allow you to quickly transfer the necessary documents to the digital version, and the format of the cre-ated document, DOC will allow you to immediately start working with it, without losing additional time to convert the file to an available format for editing. The aim of the work is to develop a mobile appli-cation for text recognition from a graphic image for Android devices. This program is implemented in object-oriented programming language Java, using the development environment Android Studio. The analysis was done of the existing API and existing methods of text recognition. The most suitable meth-ods were selected and integrated into the application.An algorithm for creating and storing a file in the memory of a mobile device was developed and implemented, as well as an algorithm that will allow you to get the files created by the application from your mobile phone. The ability to send files is implemented too. An application interface was developed and implemented. The application was tested.

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