Writer identification using a hybrid method combining Gabor wavelet and mesh fractal dimension

  • Authors:
  • Jianjun Zhang;Zhenyu He;Yiu-Ming Cheung;Xinge You

  • Affiliations:
  • National Anti-counterfeit Engineering Research Center, China;Department of Electronics and Information Engineering, Huazhong University of Science and Technology, China;Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR, China;Department of Electronics and Information Engineering, Huazhong University of Science and Technology, China

  • Venue:
  • IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
  • Year:
  • 2009

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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.