PRE-PROCESSING THE BRAILLE IMAGE FOR IMPROVING OPTICAL BRAILLE RECOGNITION PERFORMANCE

Article Sidebar

PDF
Published: Aug 28, 2017
DOI: https://doi.org/10.26483/ijarcs.v8i7.4188
Keywords:
Braille, Box filter, Gaussian filter, Histogram Equalization, OBR, OCR, preprocessing, Smoothing, Spatial filter

Main Article Content

VISHWANATH VENKATESH MURTHY
Bangalore University
M Hanumanthappa
Bangalore University

Abstract

Optical Braille Recognition (OBR), the automated software processes that are used in capturing and converting the Braille documents into text. The image data of embossed Braille plate captured using mobile camera or scanner is the input to OBR. Preprocessing is the first stage performed by OBR system. The Considerable troubles in Image captured using camera, mobile or scanners include low-quality image due to irregular lightness during scanning, relatively low resolution of camera, impulse noise in the image, diverse gray-level values, introduce an elevated spatial frequency, angled or slanted image captured as a result of human error, deformation or warp of image document that continue deprivation or disability of the dots, manifestation of uninvited dots, irregular gap in connecting dots and the cells representing character. These impulse noises are eliminated by applying various image enhancement techniques under preprocessing stage of OBR. The main mission of the paper is to study and provide a proportional learning of diverse preprocessing techniques that are applied to the Braille image by various researchers.

Downloads

Download data is not yet available.

Article Details

Issue
Vol. 8 No. 7 (2017): July-August 2017
Section
Articles

COPYRIGHT

Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.

Authors who publish with this journal agree to the following terms:

  • Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
  • Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
  • Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
  • The journal allows the author(s) to retain publishing rights without restrictions.
  • The journal allows the author(s) to hold the copyright without restrictions.
Author Biographies

VISHWANATH VENKATESH MURTHY, Bangalore University

Research Scholar, Department of Computer Science and Applications

M Hanumanthappa, Bangalore University

Professor, Department of Computer Science and Applications

References

Abdul Malik S. Al-Salman, Ali El-Zaart, Yousef Al-Suhaibani, Khaled Al-Hokail, Abdu Gumaei, “Designing Braille Copier-Based on Image Processing Techniquesâ€, International Journal of Soft Computing and Engineering (IJSCE) ISSN: 2231-2307, Volume-4 Issue-5, November 2014

Aisha Mousa, Hazem Hiary, Raja Alomari, and Loai Alnemer, “Smart Braille System Recognizerâ€, IJCSI International Journal of Computer Science Issues, Vol. 10, Issue 6, No 1, November 2013 ISSN (Print): 1694-0814, ISSN (Online): 1694-0784 www.IJCSI.org

C. M. Ng, V. Ng and Y. Lau, "Regular feature extraction for recognition of Braille", Computational Intelligence and Multimedia Applications, 1999. ICCIMA '99. Proceedings. Third International Conference on, New Delhi, 1999, pp. 302-306. doi: 10.1109/ ICCIMA. 1999. 798547

Huaxun Zhang, J. Li and J. Yin, "A Research on Paper-Mediated Braille Automatic Extraction Method," Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on, Changsha, China, 2010, pp. 328-331. doi: 10.1109/ICICTA.2010.145

Jie Li and Xiaoguang Yan, "Optical Braille character recognition with Support-Vector Machine classifier," 2010 International Conference on Computer Application and System Modeling (ICCASM 2010), Taiyuan, 2010, pp. V12-219-V12-222, doi: 10.1109/ICCASM.2010.5622245

Jie Li, Xiaoguang Yan and Dayong Zhang, "Optical Braille Recognition with Haar wavelet features and Support-Vector-Machine," 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, Changchun, 2010, pp. 64-67. doi:10.1109/CMCE.2010.5610062

L. Nian-feng and W. Li-rong, "A kind of Braille paper automatic marking system," Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on, Jilin, 2011, pp. 664-667. doi: 10.1109/ MEC. 2011. 6025553

L. Wong, W. Abdulla and S. Hussmann, "A software algorithm prototype for optical recognition of embossed Braille," Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on, 2004, pp. 586-589 Vol.2. doi: 10.1109/ICPR.2004.1334316

Mohd. Wajid, M. Waris Abdullah and O. Farooq, "Imprinted Braille-character pattern recognition using image processing techniques," Image Information Processing (ICIIP), 2011 International Conference on, Himachal Pradesh, 2011, pp. 1-5. doi: 10.1109/ICIIP.2011.6108954

T. Li, X. Zeng and S. Xu, "A Deep Learning Method for Braille Recognition", Computational Intelligence and Communication Networks (CICN), 2014 International Conference on, Bhopal, 2014, pp. 1092-1095. doi: 10.1109/ CICN.2014.229.