Paper
8 February 2017 Circle Hough transform implementation for dots recognition in braille cells
Edwar Jacinto Gómez, Holman Montiel Ariza, Fredy Hernán Martínez Sarmiento
Author Affiliations +
Proceedings Volume 10225, Eighth International Conference on Graphic and Image Processing (ICGIP 2016); 102250N (2017) https://doi.org/10.1117/12.2266991
Event: Eighth International Conference on Graphic and Image Processing, 2016, Tokyo, Japan
Abstract
This paper shows a technique based on CHT (Circle Hough Transform) to achieve the optical Braille recognition (OBR). Unlike other papers developed around the same topic, this one is made by using Hough Transform to process the recognition and transcription of Braille cells, proving CHT to be an appropriate technique to go over different non-systematics factors who can affect the process, as the paper type where the text to traduce is placed, some lightning factors, input image resolution and some flaws derived from the capture process, which is realized using a scanner. Tests are performed with a local database using text generated by visual nondisabled people and some transcripts by sightless people; all of this with the support of National Institute for Blind People (INCI for their Spanish acronym) placed in Colombia.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Edwar Jacinto Gómez, Holman Montiel Ariza, and Fredy Hernán Martínez Sarmiento "Circle Hough transform implementation for dots recognition in braille cells", Proc. SPIE 10225, Eighth International Conference on Graphic and Image Processing (ICGIP 2016), 102250N (8 February 2017); https://doi.org/10.1117/12.2266991
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KEYWORDS
Image processing

Hough transforms

Scanners

Image acquisition

Image segmentation

Detection and tracking algorithms

Image filtering

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