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Psychological Science and Education

Publisher: Moscow State University of Psychology and Education

ISSN (printed version): 1814-2052

ISSN (online): 2311-7273

DOI: http://dx.doi.org/10.17759/pse

License: CC BY-NC 4.0

Started in 1996

Published 6 times a year

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Document recognition and vocalization technology for facilitation of learning process of people with vision impairments 1337

Kuravsky L.S., Doctor of Engineering, Dean of the Computer Science Faculty , Moscow State University of Psychology and Education , Moscow, Russia, l.s.kuravsky@gmail.com
Yuriev G.A., Programmer, Chair of Applied Computer Informatics, Information Technologies faculty, Moscow State University of Psychology and Education, Moscow, Russia, Moscow, Russia, grinch89@mail.ru
Abstract
Access to documented information is one of the biggest challenges for adaptation of people with vision impairments in the current computerized society. The main source of awareness in this so-called information space is just text matter. Despite of a big deal of e-sources, it is still widespread situation that texts are available in printed version only. One can by no means always obtain required information from books in Braille writing. Besides, usual printed texts and a part of browseable ones are unavailable for people with vision impairments, though those texts provide access to the vast majority of text data. Therefore, design of soft and hardware enabling blind people to get access to those sources is highly topical nowadays. The given piece of work presents cutting-edge technology of text proceeding for people with vision impairment, which integrates scanning, recognition and vocalization tools.

Keywords: image recognition, neural networks, wavelet-conversion, Hamming networks, image recovery

Column: Psychology of People with Special Needs

For Reference

References
  1. Bogomolov A. M. Lichnostnyj adaptacionnyj potencial v kontekste sistemnogo analiza // Psihologicheskaja nauka i obrazovanie. 2008. № 1.
  2. Kuravsky L. S., Baranov S. N., Bulanova O. E., Kravchuk T. E. Nejrosetevaja tehnologija diagnostiki patologicheskih sostojanij po anomalijam
    jelektrojencefalogramm // Nejrokomp’jutery: razrabotka i primenenie. 2007. № 4.
  3. Kuravsky L. S. , Baranov S. N. Wavelet transforms and relaxation neural networks as promising technology components of technical and medical diagnostics and monitoring. In: Proc. 2-nd World Congress on Engineering Asset Management and 4th International Conference on Condition Monitoring. Harrogate. United Kingdom. June 2007.
  4. Kuravsky L. S. , Baranov S. N. Technical diagnostics and monitoring based on capabilities of wavelet transforms and relaxation neural networks // Insight. March 2008. Vol. 50. № 3.
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