Improvement of identification algorithms in the freehand curve identifier FSCI
Hiroyasu Takikawa, Naofumi Yasufuku, Sato Saga · Electronics and Communications in Japan (Part II Electronics) · 2005
Abstract We already proposed the freehand curve identifier FSCI, based on fuzzy theory, as a freehand figure recognition engine. We next investigated the improvement of the recognition rate of FSCI by learning optimization of parameters. This paper proposes improvements of the FSCI algorithm itself, namely, improvement of the hypothetical fuzzy model formulation, and introduction of necessity into the fuzzy inference rules. It was shown by experiments that these improvements have effects which cannot be obtained by conventional parameter adjustment. © 2005 Wiley Periodicals, Inc. Electron Comm Jpn Pt 2, 88(11): 54–63, 2005; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/ecjb.20224