NDLI: A novel approach for Braille images segmentation

Content Provider	IEEE Xplore Digital Library
Author	AlSalman, A. El-Zaart, A. Al-Salman, S. Gumaei, A.
Copyright Year	2012
Description	Author affiliation: Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh, Kingdom of Saudi Arabia (AlSalman, A.; Gumaei, A.) \|\| Department of Mathematics and Computer Science, Faculty of Sciences, Beirut Arab University, Lebanon (El-Zaart, A.) \|\| Department of Physics & Astronomy, College of Science, King Saud University, Riyadh, Kingdom of Saudi Arabia (Al-Salman, S.)
Abstract	Braille recognition is the ability to detect and recognize Braille characters embossed on Braille document. The result is used in several applications such as embossing, printing, translating…etc. However, the performance of these applications is affected by poor quality imaging due to several factors such as scanner quality, scan resolution, lighting, and type of embossed documents. In this work, we extend previous research efforts on Braille recognition systems by proposing a new method for Braille image segmentation using Between-Class Variance with Gamma distribution. The technique of Between-Class Variance was proposed by Otsu using a mixture of Gaussian distributions. Gaussian distribution is widely used for modeling the histogram of images, but due to the asymmetric nature of the distribution of gray levels in Braille images, Gamma distribution is more suitable. The proposed method is composed of two main parts. (a) Find the optimal estimated threshold values using Between-Class Variance with a mixture of Gamma distributions. (b) Use the optimal estimated thresholds values to segment Braille images. Our method was applied on several Braille images scanned by flatbed scanner. The experimental results on Braille images using this technique showed improvement in the accuracy of Braille images segmentation.
Starting Page	190
Ending Page	195
File Size	1047692
Page Count	6
File Format	PDF
ISBN	9781467315180
e-ISBN	9781467315203
DOI	10.1109/ICMCS.2012.6320146
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-10
Publisher Place	Morocco
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Histograms Image recognition Optical distortion Optical imaging Educational institutions Character recognition Between-Class Variance Optical Braille Recognition (OBR) system Gamma distribution Braille Segmentation
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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