HANDWRITTEN TEXT RECOGNIZTION BASED ON ANALYSIS OF MOTION VECTORS

Authors

  • Дмитро Анатолійович Долотов National Aviation University

Keywords:

Handwriting recognition, motion analysis, mobile devises, motion vectors, user input

Abstract

Article reviewed approaches of using recognition text technologies of handwriting input. The particular requirements of handwriting text input software modules that are used in mobile devices are identified. The designed method and the analysis of the effectiveness of its constituents are presented in this article. According to the results of the experiments found the comparative effectiveness of existing methods to recognize text in handwritten input on mobile devices.

Author Biography

Дмитро Анатолійович Долотов, National Aviation University

5th year student of Computer Science Faculty of the National Aviation University, Software Engineering Department. Scinetific interests: methods for recognition of images, artificial intelligence.

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Девид А. Форсайт, Джин Понс Компьютерное зрение. Современный подход. 928 стр., с ил.; ISBN 5-8459-0542-7, 0-13-085198-1; 2004 Вильямс.

Issue

Section

REPORTS OF INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE OF STUDENTS AND POST-GRADUATE STUDENTS "SE 2011"