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Particle Swarm Optimization with Random Forests for Handwritten Arabic Recognition System

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Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2016 (AISI 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 533))

Abstract

There are many problems facing the processing of a handwritten Arabic recognition system such as unlimited variation in human handwriting, similarities of character shapes and their position in the word. This paper presents a handwritten Arabic character recognition system based on Particle Swarm Optimization with random Forests. The main objective of the proposed system is to improve the recognition rate and reduce the feature set size. The proposed system is trained and tested by a well-known classifier; Random forests (RF) on CENPRMI dataset. The proposed optimization algorithm obtained promising results in terms of classification accuracy as the proposed system is able to recognize 91.66 % of our test set correctly, as well as, it reduced the computational time. When comparing our results with other related works we find that our results is the highest among other published results.

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Author information

Authors and Affiliations

  1. Faculty of Specific Education, Damietta University, Damietta, Egypt

    Ahmed Sahlol

  2. Faculty of Computers and Information, Mansoura University, Damietta, Egypt

    Mohamed Abd Elfattah

  3. Director of CENPRMI, Faculty of Engineering and Computer Sciences, Concordia University, Damietta, Canada

    Ching Y. Suen

  4. Faculty of Computers and Information, Cairo University, Damietta, Egypt

    Aboul Ella Hassanien

  5. Scientific Research Group in Egypt (SRGE), Damietta, Egypt

    Ahmed Sahlol, Mohamed Abd Elfattah & Aboul Ella Hassanien

Authors
  1. Ahmed Sahlol
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  2. Mohamed Abd Elfattah
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  3. Ching Y. Suen
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  4. Aboul Ella Hassanien
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Corresponding author

Correspondence to Ahmed Sahlol .

Editor information

Editors and Affiliations

  1. Faculty of Computers & Information, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. Dubai International Academic City, The British University, Dubai, United Arab Emirates

    Khaled Shaalan

  3. CS Dept. Faculty of Computers and Inform, Suez Canal University CS Dept. Faculty of Computers and Inform, Ismailia, Egypt

    Tarek Gaber

  4. Ahmed Orabi Square , Menouf, Egypt

    Ahmad Taher Azar

  5. Faculty of Computer & Information Scienc, Ain Shams University Faculty of Computer & Information Scienc, Cairo, Egypt

    M. F. Tolba

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Sahlol, A., Elfattah, M.A., Suen, C.Y., Hassanien, A.E. (2017). Particle Swarm Optimization with Random Forests for Handwritten Arabic Recognition System. In: Hassanien, A., Shaalan, K., Gaber, T., Azar, A., Tolba, M. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2016. AISI 2016. Advances in Intelligent Systems and Computing, vol 533. Springer, Cham. https://doi.org/10.1007/978-3-319-48308-5_42

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  • DOI: https://doi.org/10.1007/978-3-319-48308-5_42

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48307-8

  • Online ISBN: 978-3-319-48308-5

  • eBook Packages: EngineeringEngineering (R0)

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