Image Processing Techniques for Braille Writing Recognition

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article , Conference object 01 Jan 2005Publisher:Springer Berlin Heidelberg

Authors: Néstor Falcón; Carlos M. Travieso; Jesús B. Alonso; Miguel A. Ferrer;

doi: 10.1007/11556985_49

handle: 10553/44105

Image Processing Techniques for Braille Writing Recognition

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Abstract

In this paper we present the development of BrailLector, a system able to speak from Braille writing. By means of dynamic thresholding, adaptive Braille grid, recovery dots techniques and TTS software (Text-To-Speech), BrailLector translates Braille scanned images into normal text, and not only that, it speaks the translated text. BrailLector is a robust application with innovative thersholding and Braille grid creation algorithms which detects and read Braille characters with 99.9% of correct symbols and an error variance below 0.012. The conversion time is only 26 sees for double-sided documents by MATLAB programming language.

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Related Organizations

University of Las Palmas de Gran Canaria
Spain

Keywords

3307 Tecnología electrónica

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