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DOI: 10.14569/IJACSA.2012.031022
PDF

NF-SAVO: Neuro-Fuzzy system for Arabic Video OCR

Author 1: Mohamed Ben Halima
Author 2: Hichem karray
Author 3: Adel. M. Alimi
Author 4: Ana Fernández Vila

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 3 Issue 10, 2012.

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Abstract: In this paper we propose a robust approach for text extraction and recognition from video clips which is called Neuro-Fuzzy system for Arabic Video OCR. In Arabic video text recognition, a number of noise components provide the text relatively more complicated to separate from the background. Further, the characters can be moving or presented in a diversity of colors, sizes and fonts that are not uniform. Added to this, is the fact that the background is usually moving making text extraction a more intricate process. Video include two kinds of text, scene text and artificial text. Scene text is usually text that becomes part of the scene itself as it is recorded at the time of filming the scene. But artificial text is produced separately and away from the scene and is laid over it at a later stage or during the post processing time. The emergence of artificial text is consequently vigilantly directed. This type of text carries with it important information that helps in video referencing, indexing and retrieval.

Keywords: Arabic Video OCR; Text Localization; Text Detection; Text extraction; Pattern Recognition; Neuro-Fuzy.

Mohamed Ben Halima, Hichem karray, Adel. M. Alimi and Ana Fernández Vila, “NF-SAVO: Neuro-Fuzzy system for Arabic Video OCR” International Journal of Advanced Computer Science and Applications(IJACSA), 3(10), 2012. http://dx.doi.org/10.14569/IJACSA.2012.031022

@article{Halima2012,
title = {NF-SAVO: Neuro-Fuzzy system for Arabic Video OCR},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2012.031022},
url = {http://dx.doi.org/10.14569/IJACSA.2012.031022},
year = {2012},
publisher = {The Science and Information Organization},
volume = {3},
number = {10},
author = {Mohamed Ben Halima and Hichem karray and Adel. M. Alimi and Ana Fernández Vila}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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