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Optical Braille Recognition Based on Histogram of Oriented Gradient Features and Support-Vector Machine

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dc.contributor.author Perera, T. D. S. H.
dc.contributor.author Wanniarachchi, W.K.I.L
dc.date.accessioned 2020-01-22T05:57:09Z
dc.date.available 2020-01-22T05:57:09Z
dc.date.issued 2018
dc.identifier.citation Perera, T. D. S. H, Wanniarachchi,W.K.I.L.(2018)."Optical Braille Recognition Based on Histogram of Oriented Gradient Features and Support-Vector Machine", International Journal of Engineering Science and Computing, October 2018 ,Volume 8 Issue No.10 en_US
dc.identifier.issn 2321 3361
dc.identifier.uri http://dr.lib.sjp.ac.lk/handle/123456789/8842
dc.description.abstract In this paper, Braille character recognition in an image of a single side Braille document based on support vector machine (SVM) with Histogram of Oriented Gradient (HOG) as the feature extraction method is discussed. The developed system consists of two main stages, such as Braille character segmentation based on image processing techniques and Braille character recognition using SVM with HOG feature extraction method. The identified Braille characters can be translated to Sinhala language. In addition to that the developed system capable of identifying and translate to Grade 1 English braille characters and some of Grade 2 English Braille characters. The optical Braille character translating system was developed in MATLAB environment and it has proved more than 80% accuracy in most cases for translating Braille characters to either Sinhala or English. en_US
dc.language.iso en en_US
dc.subject Braille, Braille Recognition, Image Processing, SVM, HOG en_US
dc.title Optical Braille Recognition Based on Histogram of Oriented Gradient Features and Support-Vector Machine en_US
dc.type Article en_US


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