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Offline Writer Identification Based on CLBP and VLBP

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Pattern Recognition and Artificial Intelligence (MedPRAI 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1322))

Abstract

Writer identification from handwriting is still considered to be challenging task due to homogeneous vision comparing writer of handwritten documents. This paper presents a new method based on two LBPs kinds: Complete Local Binary Patterns (CLBP) and Local Binary Pattern Variance (LBPV) for extracting the features from handwriting documents. The feature vector is then normalized using Probability Density Function (PDF). Classifications are based on the minimization of a similarity criteria based on a distance between two features vectors. A series of evaluations using different combinations of distances metrics are realized high identification rates which are compared with the methods that are participated in the ICDAR 2013 competition.

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Author information

Authors and Affiliations

  1. Department of Mathematics and Computer Science, Larbi Tebessi University, Tebessa, Algeria

    Faycel Abbas, Abdeljalil Gattal & Chawki Djeddi

  2. LIMPAF Laboratory, Computer Sciences Department, Faculty of Sciences and Applied Sciences, Mohand Akli University, Bouira, Algeria

    Faycel Abbas

  3. Higher Colleges of Technology, CIS Division, Abu Dhabi, UAE

    Ameur Bensefia

  4. Department of Computer Engineering, Istanbul Sabahattin Zaim University, Istanbul, Turkey

    Akhtar Jamil

  5. Department of Electrical Engineering, Mohand Akli University, Bouira, Algeria

    Kamel Saoudi

Authors
  1. Faycel Abbas
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  2. Abdeljalil Gattal
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  3. Chawki Djeddi
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  4. Ameur Bensefia
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  5. Akhtar Jamil
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  6. Kamel Saoudi
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Corresponding author

Correspondence to Faycel Abbas .

Editor information

Editors and Affiliations

  1. Larbi Tebessi University, Tebessa, Algeria

    Chawki Djeddi

  2. Digital Research Center of Sfax, Sfax, Tunisia

    Yousri Kessentini

  3. Bahria University, Islamabad, Pakistan

    Imran Siddiqi

  4. Digital Research Centre of Sfax, Sfax, Tunisia

    Mohamed Jmaiel

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Abbas, F., Gattal, A., Djeddi, C., Bensefia, A., Jamil, A., Saoudi, K. (2021). Offline Writer Identification Based on CLBP and VLBP. In: Djeddi, C., Kessentini, Y., Siddiqi, I., Jmaiel, M. (eds) Pattern Recognition and Artificial Intelligence. MedPRAI 2020. Communications in Computer and Information Science, vol 1322. Springer, Cham. https://doi.org/10.1007/978-3-030-71804-6_14

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  • DOI: https://doi.org/10.1007/978-3-030-71804-6_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-71803-9

  • Online ISBN: 978-3-030-71804-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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