On-Line Hand-Drawn Symbol Recognition Based on Primitives Separation and Fuzzy Inference

  • GONG Xin
  • PEI Jihong
  • XIE Weixin
Conference paper

DOI: 10.1007/3-540-40063-X_53

Part of the Lecture Notes in Computer Science book series (LNCS, volume 1948)
Cite this paper as:
Xin G., Jihong P., Weixin X. (2000) On-Line Hand-Drawn Symbol Recognition Based on Primitives Separation and Fuzzy Inference. In: Tan T., Shi Y., Gao W. (eds) Advances in Multimodal Interfaces — ICMI 2000. Lecture Notes in Computer Science, vol 1948. Springer, Berlin, Heidelberg

Abstract

In this paper, a universal recognition method for hand-drawn symbols is presented which based on primitives separation and fuzzy inference. This technique first separates input figure symbol into primitives using a single-band integral algorithm, then a fuzzy inference framework is used to combine these primitives into complicate symbols. The features used in the inference process are very simple, so the figure set can be easily extended. The method was tested under regular input circumstance with an average recognition rate of 90 percent reported.

Keywords

On-Line Hand-drawn Figure recognition Fuzzy inference 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • GONG Xin
    • 1
  • PEI Jihong
    • 1
  • XIE Weixin
    • 1
  1. 1.School of Electronics EngineeringXidian UniversityXi’an, Shaanxi Province

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