Arabic calligraphy recognition based on binarization methods and degraded images

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Optical Font Recognition is one of the main challenges in this time. The available methods of optical font recognition are deal with the recent documents and fonts types. However, there are neglected in dealing with the historical and regarded documents. Moreover, they have neglected languages that are not belong into Asian or Latin. Regarding to those types of documents, we proposed a new framework of optical font recognition for Arabic calligraphy. We enhance binarization method based on previous works. By introducing that, we achieve better quality images at the preprocessing stage. Then we generate text block before passing mailing to post-processing stages. Then, we extract the features based on edge direction matrixes. In the classification stage, we apply backpropagation neural network to identify the font type of the calligraphy. We observe that our proposal method achieve better performance in both preprocessing and post processing.

Original languageEnglish
Title of host publicationProceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011
Pages65-70
Number of pages6
Volume1
DOIs
Publication statusPublished - 2011
Event2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011 - Putrajaya
Duration: 28 Jun 201129 Jun 2011

Other

Other2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011
CityPutrajaya
Period28/6/1129/6/11

Fingerprint

Processing
Backpropagation
Image quality
Neural networks

Keywords

  • degraded document images
  • EDMS
  • local thresholding methods
  • optical font recognition

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

Cite this

Bataineh, B., Sheikh Abdullah, S. N. H., & Omar, K. (2011). Arabic calligraphy recognition based on binarization methods and degraded images. In Proceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011 (Vol. 1, pp. 65-70). [5976913] https://doi.org/10.1109/ICPAIR.2011.5976913

Arabic calligraphy recognition based on binarization methods and degraded images. / Bataineh, Bilal; Sheikh Abdullah, Siti Norul Huda; Omar, Khairuddin.

Proceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011. Vol. 1 2011. p. 65-70 5976913.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Bataineh, B, Sheikh Abdullah, SNH & Omar, K 2011, Arabic calligraphy recognition based on binarization methods and degraded images. in Proceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011. vol. 1, 5976913, pp. 65-70, 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011, Putrajaya, 28/6/11. https://doi.org/10.1109/ICPAIR.2011.5976913
Bataineh B, Sheikh Abdullah SNH, Omar K. Arabic calligraphy recognition based on binarization methods and degraded images. In Proceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011. Vol. 1. 2011. p. 65-70. 5976913 https://doi.org/10.1109/ICPAIR.2011.5976913
Bataineh, Bilal ; Sheikh Abdullah, Siti Norul Huda ; Omar, Khairuddin. / Arabic calligraphy recognition based on binarization methods and degraded images. Proceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics, ICPAIR 2011. Vol. 1 2011. pp. 65-70
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