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Analysis of the Reforming Languages by Image-Based Variations of LBP and NBP Operators

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Book cover Multi-disciplinary Trends in Artificial Intelligence (MIWAI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10607))

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Abstract

This paper proposes an extension of the local binary pattern and neighbor binary pattern as a basis for extracting features needed for recognizing an image which represents a text in specific languages. At the first, the unicode text is, according to its energy status in the text-line area, converted into a gray level image. Then, the extension of the local binary pattern and neighbor binary pattern is proposed. These features are extracted in order to differentiate image-based representations of a text in a given language. At the end, the extracted features are classified by Support Vector Machine and Naive Bayes to establish a difference that can identify different languages. The obtained results prove the accuracy and efficiency of the proposed method when compared with other state-of-the-art methods.

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Notes

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Acknowledgments

This work was supported by the Grant of the Ministry of Education, Science and Technological development of the Republic of Serbia within the project TR33037 and through Mathematical Institute of Serbian Academy of Sciences and Arts within the project III44006.

Author information

Authors and Affiliations

  1. Technical Faculty in Bor, University of Belgrade, V.J. 12, 19210, Bor, Serbia

    Darko Brodić & Radmila Janković

  2. DIMES, University of Calabria, Via Pietro Bucci Cube 44, 87036, Rende, CS, Italy

    Alessia Amelio

  3. College of Applied Technical Sciences, Aleksandra Medvedeva 20, 18000, Niš, Serbia

    Zoran N. Milivojević

Authors
  1. Darko Brodić
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  2. Alessia Amelio
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  3. Radmila Janković
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  4. Zoran N. Milivojević
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Corresponding author

Correspondence to Darko Brodić .

Editor information

Editors and Affiliations

  1. Universiti Teknologi Brunei, Gadong, Brunei Darussalam

    Somnuk Phon-Amnuaisuk

  2. Universiti Teknologi Brunei, Gadong, Brunei Darussalam

    Swee-Peng Ang

  3. Korea Advanced Institute of Science and Technology, Daejeon, Korea (Republic of)

    Soo-Young Lee

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Brodić, D., Amelio, A., Janković, R., Milivojević, Z.N. (2017). Analysis of the Reforming Languages by Image-Based Variations of LBP and NBP Operators. In: Phon-Amnuaisuk, S., Ang, SP., Lee, SY. (eds) Multi-disciplinary Trends in Artificial Intelligence. MIWAI 2017. Lecture Notes in Computer Science(), vol 10607. Springer, Cham. https://doi.org/10.1007/978-3-319-69456-6_20

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  • DOI: https://doi.org/10.1007/978-3-319-69456-6_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69455-9

  • Online ISBN: 978-3-319-69456-6

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