International Journal of Computer
& Organization Trends

Research Article | Open Access | Download PDF

Volume 1 | Issue 3 | Year 2011 | Article Id. IJCOT-V1I3P305 | DOI : https://doi.org/10.14445/22492593/IJCOT-V1I3P305

Automatic Inspection of Braille character:A Vision Based approach

J.Bhattacharya, S. Majumder, G.Sanyal

Citation :

J.Bhattacharya, S. Majumder, G.Sanyal, "Automatic Inspection of Braille character:A Vision Based approach," International Journal of Computer & Organization Trends (IJCOT), vol. 1, no. 3, pp. 20-27, 2011. Crossref, https://doi.org/10.14445/22492593/IJCOT-V1I3P305

Abstract

Analysis of the printing quality of a Braille printer is an essential task as any minute nonuniformity in the braille dot spacing will lead to the misinterpretation of the whole doc- ument.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 CMERI.Performance analysis of the proposed method with other conventional approaches so far used for this purpose clearly shows that the multi-parameter based feature detection method gives a higher accuracy even for a degraded image.A simple approach is also proposed for the recognition of the interpoint braille characters from a single side and generation of English text for both sides of the print simultaneously.This can be utilized for regeneration of the braille print from the hard copy of the document.

Keywords

Braille Character Recognition, computer vi- sion,Generalized Feature Vector, feature detection,interpoint braille.

References


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