Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/44105
Título: Image processing techniques for braille writing recognition
Autores/as: Falcón, Néstor
Travieso, Carlos M. 
Alonso, Jesús B. 
Ferrer, Miguel A. 
Clasificación UNESCO: 3307 Tecnología electrónica
Fecha de publicación: 2005
Editor/a: 0302-9743
Publicación seriada: Lecture Notes in Computer Science 
Conferencia: 10th International Conference on Computer Aided Systems Theory 
Resumen: 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.
URI: http://hdl.handle.net/10553/44105
ISBN: 3-540-29002-8
ISSN: 0302-9743
Fuente: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 3643 LNCS, p. 379-385
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