Title :
The Research on Paper-Mediated Braille Automatic Recognition Method
Author :
Yin, Jia ; Wang, Lirong ; Li, Jie
Author_Institution :
Grad. Sch., Changchun Univ. of Sci. & Technol., Changchun, China
Abstract :
The paper-mediated Braille automatic recognition method referred in this paper, for the scanned Braille images, pre-process the Braille images, convert into Braille binary image and then extract the Braille features by the fixed nature of Braille. Then grouping, locating, marking the Braille cells, establish a standard Braille Corpus according as one-to-one Correspondence between Braille cell and character contains Hanyu Pinyin, Arabic numerals and interpunction, then match the recognized Braille cells and finally output the sentences formed Hanyu Pinyin, Arabic numerals and interpunation. This method is simple convenient, and easy to operate. The paper introduces Braille extraction, Braille recognition, illuminates specific experimental approach in details. Experiments show that the method can effectively extract Braille, and accurately convert the Braille into Hanyu Pinyin.
Keywords :
feature extraction; handicapped aids; image recognition; image segmentation; optical character recognition; Arabic numerals; Braille Corpus; Braille binary image; Braille cell; Braille character; Braille recognition; Hanyu Pinyin numerals; feature extraction; interpunction; paper-mediated Braille automatic recognition method; scanned Braille images; Arrays; Character recognition; Feature extraction; Histograms; Image recognition; Image segmentation; Braille Image Enhancement; Braille Image Segmentation; Braille Recognition; Braille dots feature extraction;
Conference_Titel :
Frontier of Computer Science and Technology (FCST), 2010 Fifth International Conference on
Conference_Location :
Changchun, Jilin Province
Print_ISBN :
978-1-4244-7779-1
DOI :
10.1109/FCST.2010.95