Persian Writer Identification Using Extended Gabor Filter

  • Behzad Helli
  • Mohsen Ebrahimi Moghadam
Conference paper

DOI: 10.1007/978-3-540-69812-8_57

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5112)
Cite this paper as:
Helli B., Moghadam M.E. (2008) Persian Writer Identification Using Extended Gabor Filter. In: Campilho A., Kamel M. (eds) Image Analysis and Recognition. ICIAR 2008. Lecture Notes in Computer Science, vol 5112. Springer, Berlin, Heidelberg

Abstract

Writer identification using handwritten documents is an interesting field in image processing and machine vision. Many researchers have presented methods to do this, but most of these methods are based on English language. In this paper we have presented a method to identify writer of Persian (Farsi) handwritten documents. The proposed method is based on new filter which we called it extended Gabor filter. This method has no constraint on input data and the experimental results showed that the proposed method worked well.

Keywords

writer identification Gabor filter writer verification handwritten analysis 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Behzad Helli
    • 1
  • Mohsen Ebrahimi Moghadam
    • 1
  1. 1.Department of electrical and computer EngineeringShahid Beheshti universityTehranIran

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