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Writer Identification Using a Hybrid Method Combining Gabor Wavelet and Mesh Fractal Dimension

  • Jianjun Zhang
  • Zhenyu He
  • Yiu-ming Cheung
  • Xinge You
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5788)

Abstract

Writer identification is to determine the writer from unknown handwritings, which has been becoming an active research topic in pattern recognition field. This paper proposes a new hybrid method combining Gabor function and mesh fractal dimension for off-line, text-independent writer identification. Compared to the existing Gabor-based method for off-line, text-independent writer identification, this new method is capable of extracting more useful features to distinguish the handwritings. Experimental results show that this new method can achieve much better identification results than the existing Gabor-based method.

Keywords

Fractal Dimension Resolution Ratio Biometric System Gabor Function Normalize Euclidean Distance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Jianjun Zhang
    • 1
  • Zhenyu He
    • 2
  • Yiu-ming Cheung
    • 3
  • Xinge You
    • 2
  1. 1.National Anti-counterfeit Engineering Research CenterChina
  2. 2.Department of Electronics and Information EngineeringHuazhong University of Science and TechnologyChina
  3. 3.Department of Computer ScienceHong Kong Baptist UniversityHong Kong SARChina

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