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International Conference on Hybrid Intelligent Systems

HIS 2016: Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016) pp 298–307Cite as

A HMM-Based Arabic/Latin Handwritten/Printed Identification System

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 552))

Abstract

For document analysis and recognition systems, script identification is considered as an important preprocessing step in the design of multi-scripts OCR system. In this paper, we propose a novel HMM based identification system to recognize on only one level the writing type (handwritten or machine-printed) and the script nature (Arabic or Latin) of the input image. The proposed system is based on Histogram of Oriented Gradient (HOG) features which have demonstrated an interesting properties for script characterization. Experiments have been conducted on word and line images collected from public databases and show promising results.

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Author information

Authors and Affiliations

  1. MIRACL Laboratory, Digital Research Center of Sfax, University of Sfax, Sfax, Tunisia

    Ahmed Cheikh Rouhou, Zeineb Abdelhedi & Yousri Kessentini

  2. LITIS Laboratory EA 4108, St Etienne du Rouvray, France

    Yousri Kessentini

Authors
  1. Ahmed Cheikh Rouhou
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  2. Zeineb Abdelhedi
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  3. Yousri Kessentini
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Corresponding author

Correspondence to Ahmed Cheikh Rouhou .

Editor information

Editors and Affiliations

  1. (MIR Labs), Machine Intelligence Research Labs, Auburn, Washington, USA

    Ajith Abraham

  2. Hassan 1st University, Settat, Morocco

    Abdelkrim Haqiq

  3. ENIS, University of Sfax, Sfax, Tunisia

    Adel M. Alimi

  4. Technopolis Rabat-Shore Rocade, International University of Rabat, Sala el Jadida, Morocco

    Ghita Mezzour

  5. Inst Applied Dept of Electronics, Taffala, University of Sousse, Sousse, Tunisia

    Nizar Rokbani

  6. Fakulti Teknologi Maklumat dan Komunikas, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia

    Azah Kamilah Muda

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© 2017 Springer International Publishing AG

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Cheikh Rouhou, A., Abdelhedi, Z., Kessentini, Y. (2017). A HMM-Based Arabic/Latin Handwritten/Printed Identification System. In: Abraham, A., Haqiq, A., Alimi, A., Mezzour, G., Rokbani, N., Muda, A. (eds) Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016). HIS 2016. Advances in Intelligent Systems and Computing, vol 552. Springer, Cham. https://doi.org/10.1007/978-3-319-52941-7_30

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  • DOI: https://doi.org/10.1007/978-3-319-52941-7_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52940-0

  • Online ISBN: 978-3-319-52941-7

  • eBook Packages: EngineeringEngineering (R0)

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