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

Authors:
Xin Gong;Jihong Pei;Weixin Xie
Affiliations:
-;-;-
Venue:
ICMI '00 Proceedings of the Third International Conference on Advances in Multimodal Interfaces
Year:
2000

Citing 3
Cited 0

Corner Detection and Interpretation on Planar Curves Using Fuzzy Reasoning

IEEE Transactions on Pattern Analysis and Machine Intelligence
On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey

IEEE Transactions on Pattern Analysis and Machine Intelligence
A Fuzzy-Syntactic Approach to Allograph Modeling for Cursive Script Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence

Quantified Score

Hi-index	0.00

Visualization

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.