DocumentCode :
3542226
Title :
A novel approach for Braille images segmentation
Author :
AlSalman, A. ; El-Zaart, Ali ; Al-Salman, S. ; Gumaei, A.
Author_Institution :
Dept. of Comput. Sci., King Saud Univ., Riyadh, Saudi Arabia
fYear :
2012
fDate :
10-12 May 2012
Firstpage :
190
Lastpage :
195
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.
Keywords :
Gaussian distribution; document handling; handicapped aids; image segmentation; object detection; optical character recognition; Braille character detection; Braille character recognition; Braille document; Braille image segmentation; Braille recognition; Gamma distribution; Gaussian distribution mixture; between-class variance; flatbed scanner; optimal estimated threshold values; Character recognition; Educational institutions; Histograms; Image recognition; Image segmentation; Optical distortion; Optical imaging; Between-Class Variance; Braille Segmentation; Gamma distribution; Optical Braille Recognition (OBR) system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Computing and Systems (ICMCS), 2012 International Conference on
Conference_Location :
Tangier
Print_ISBN :
978-1-4673-1518-0
Type :
conf
DOI :
10.1109/ICMCS.2012.6320146
Filename :
6320146
Link To Document :
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