Abstract
The paper uses a multi-parameter based feature detection algorithm which efficiently detects the embossed dots from a braille print.This is further utilized to make a vision based analysis of the achieved printing quality of the braille printer developed by Central Mechanical Engineering Research Institute (CMERI). A simple approach is also proposed for the recognition of the braille characters for converting them into normal text.The technique is further modified to apply it on character recognition from interpoint braille print.
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J., B., S., M. (2011). Braille Character Recognition Using Generalized Feature Vector Approach. In: Venugopal, K.R., Patnaik, L.M. (eds) Computer Networks and Intelligent Computing. ICIP 2011. Communications in Computer and Information Science, vol 157. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22786-8_21
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DOI: https://doi.org/10.1007/978-3-642-22786-8_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22785-1
Online ISBN: 978-3-642-22786-8
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