A fuzzy structural approach to handwritten word recognition

  • Richard Buse
  • Zhi-Qiang Liu
Poster Session
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1024)


In this paper, we present a new off-line word recognition system that is able to recognise unconstrained handwritten words from their grey-scale images, and is based on structural information in the handwritten word. We use Gabor filters to extract oriented features from the words. A 2D fuzzy-word classification system has been developed where the spatial location and shape of the membership functions is derived from the training words. The Gabor filter parameters are estimated from the grey-scale word images enabling the Gabor filter to be automatically tuned to the word image. Our experiments show that the proposed method achieves high recognition rates compared to standard classification methods.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    R. Buse, Z.Q. Liu, T. Caelli, “A Structural and Relational Approach to Hand-Written Word Recognition”, IEEE Trans. on Systems Man and Cybernetics, in submission.Google Scholar
  2. 2.
    R. Buse, Z.Q. Liu, “On the Recognition of Cursive Handwritten Words Using 2D Fuzzy Measures”, IEEE Trans. on Fuzzy Systems, in submission.Google Scholar
  3. 3.
    CEDAR CDROM 1, USPS Office of Advanced Technology, CEDAR, SUNY at Buffalo, 1992.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • Richard Buse
    • 1
  • Zhi-Qiang Liu
    • 1
  1. 1.Computer Vision and Machine Intelligence Lab, Department of Computer ScienceThe University of MelbourneParkvilleAustralia

Personalised recommendations