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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, firstname.lastname@example.org
Yuriev G.A., Programmer, Chair of Applied Computer Informatics, Information Technologies faculty, Moscow State University of Psychology and Education, Moscow, Russia, Moscow, Russia, email@example.com
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