Skip to main content
SpringerLink
Log in

Arabic Writer Identification Using Local Binary Patterns (LBP) of Handwritten Fragments

  • Conference paper
  • First Online:
Pattern Recognition and Image Analysis (IbPRIA 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9117))

Included in the following conference series:

Abstract

This paper presents a novel approach for off-line text-independent writer identification using Arabic handwritten images. Exploiting the idea that graphical fragments of handwriting characterize the writer, we propose a local approach based on texture analysis of small writing fragments where each fragment is represented by its Local Binary Pattern (LBP) histogram. The proposed method benefits from the efficiency of the LBP as a texture descriptor and the high discriminative power of handwritten fragments to improve the performance of writer identification. The proposed technique evaluated on a database of 130 writers realizes promising identification rates with reduced execution time.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Bensefia, A., Nosary, A., Paquet, T., Heutte, L.: Writer identification by writer’s invariants. In: Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition (IWFHR 2002) (2002)

    Google Scholar 

  2. Srihari, Cha, S., Arora, H., Lee, S.: Individuality of Handwriting. J. Forensic Sci. 47(4), 1–17 (2002)

    Google Scholar 

  3. Awaida, S., Mahmoud, S.A.: State of the art in off-line writer identification of handwritten text and survey of writer identification of arabic text. Educ. Res. Rev. 7(20), 445–463 (2012)

    Article  Google Scholar 

  4. Said, H.E.S., Tan, T.N., Baker, K.D.: Personal identification based on handwriting. Pattern Recogn. 33, 149–160 (2000)

    Article  Google Scholar 

  5. Gazzah, S., Amara, N.B.: Neural networks and support vector machines classifiers for writer identification using arabic script. In: The Second International Conference on Machine Intelligence (ACIDCA-ICMI 2005), pp. 1001–1005. Tozeur, Tunisia (2005)

    Google Scholar 

  6. Chawki, D., Labiba, S.: Une approche locale en mode indépendant du texte pour l’identification de scripteurs: Application à l’écriture arabe. In: CIFED 2008, pp. 151–156. Rouen, France October 2008

    Google Scholar 

  7. Awaida, S.M., Mahmoud, S.A.: Writer identification of arabic text using statistical and structural features. Cybern. Syst. 44(1), 57–76 (2013)

    Article  Google Scholar 

  8. Chawki, D., Labiba, S.: A texture based approach for arabic writer identification and verification. In: IEEE International Conference on Machine and Web Intelligence, pp. 115–120 (2010)

    Google Scholar 

  9. Bulacu, M., Schomaker, L., Brink, A.: Text-independent writer identification and verification on offline arabic handwriting. In: Proceedings of 9th International Conference on Document Analysis and Recognition (ICDAR 2007), vol. II, pp. 769–773. IEEE Computer Society Curitiba, Brazil, 23-26 September 2007

    Google Scholar 

  10. Abdi, N., Khemakhem, M., Ben-Abdallah, H.: An effective combination of MPP contour-based features for off-line text-independent arabic writer identification. In: Ślęzak, D., Pal, S.K., Kang, B.-H., Gu, J., Kuroda, H., Kim, T.-H. (eds.) Communications in Computer and Information Science, vol. 61, pp. 209-220, ISBN 978-3-642-10545-6. Springer-Verlag, Heidelberg (2009)

    Google Scholar 

  11. Ojala, T., Pietikäinen, M., Mäenpää, T.: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans. Pattern Mach. Intell. 24(7), 971–987 (2002)

    Article  Google Scholar 

  12. Bertolini, D., Oliveira, L.S., Justino, E., Sabourin, R.: Texture-based descriptors for writer identification and verification. Expert Syst. Appl. 40, 2069–2080 (2013)

    Article  Google Scholar 

  13. Pechwitz, M., Maddouri, S., Märgner, V., Ellouze, N., Amiri, H.: IFN/ENIT – Database of handwritten arabic words. In: The 7th Colloque International Francophone sur l’Ecrit et le Document (CIFED 2002). Hammamet, Tunis, 21-23 Oct. 2002

    Google Scholar 

  14. Shahabi, F., Rahmati, M.: Comparison of Gabor-based features for writer identification of Farsi/Arabic handwriting. In: Tenth International Workshop on Frontiers in Handwriting Recognition (2006)

    Google Scholar 

  15. Siddiqi, I., Vincent, N.: Writer identification in handwritten documents. In; Proceedings of the 9th International Conference on Document Analysis and Recognition (2007)

    Google Scholar 

  16. Bensefia, A., Paquet, T., Heutte, L.: A writer identification and verification system. Pattern Recogn. Lett. 26(13), 2080–2092 (2005)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. ACIRS Laboratory, Ibn Tofail University, Kenitra, Morocco

    Yaâcoub Hannad & Mohamed El Youssfi El Kettani

  2. Department of Computer Science, Bahria University, Islamabad, Pakistan

    Imran Siddiqi

Authors
  1. Yaâcoub Hannad
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Imran Siddiqi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mohamed El Youssfi El Kettani
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yaâcoub Hannad .

Editor information

Editors and Affiliations

  1. Universitat Politècnica de València, València, Spain

    Roberto Paredes

  2. Universidade do Porto, Porto, Portugal

    Jaime S. Cardoso

  3. Universidade de Santiago de Compostela, Santiago de Compostela, Spain

    Xosé M. Pardo

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Hannad, Y., Siddiqi, I., Kettani, M.E.Y.E. (2015). Arabic Writer Identification Using Local Binary Patterns (LBP) of Handwritten Fragments. In: Paredes, R., Cardoso, J., Pardo, X. (eds) Pattern Recognition and Image Analysis. IbPRIA 2015. Lecture Notes in Computer Science(), vol 9117. Springer, Cham. https://doi.org/10.1007/978-3-319-19390-8_27

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-19390-8_27

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19389-2

  • Online ISBN: 978-3-319-19390-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation