Image processing techniques for braille writing recognition

Authors:
Néstor Falcón;Carlos M. Travieso;Jesús B. Alonso;Miguel A. Ferrer
Affiliations:
Dpto. de Señales y Comunicaciones, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain;Dpto. de Señales y Comunicaciones, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain;Dpto. de Señales y Comunicaciones, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain;Dpto. de Señales y Comunicaciones, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
Venue:
EUROCAST'05 Proceedings of the 10th international conference on Computer Aided Systems Theory
Year:
2005

Citing 1
Cited 1

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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 secs for double-sided documents by MATLAB programming language.