Presentation 1998/1/22
Refinemant of Fuzziness Generator According to Drawing Manner in Freehand Curve Identification
Tetsuya OHKAWA, Sato SAGA,
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Abstract(in English) The Fuzzy Spline Curve Identifier (ESCI), which has been proposed as a freehand curve identification technique, can distinguish a freehand drawing into seven classes of primitive curves by utilizing not only drawn shape but also vagueness in drawing manner as important information. However, little attention has been given to the fuzziness generator, which associates drawing manner with vegueness, and a simple linear version of experiential generator model has been used in FSCI. This paper proposes to introduce a non-linear model and a bivariate model, on the basis of the spline interpolation, in order to expand the expressiveness of the fuzziness generator, and then gives a technique to train them by using the genetic algorithm.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Fuzzy Systems / Genetic Algrithm / Spline Interpolation / Pattern Recognition / Freehand Drawing
Paper # PRMU97-202
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Committee PRMU
Conference Date 1998/1/22(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Refinemant of Fuzziness Generator According to Drawing Manner in Freehand Curve Identification
Sub Title (in English)
Keyword(1) Fuzzy Systems
Keyword(2) Genetic Algrithm
Keyword(3) Spline Interpolation
Keyword(4) Pattern Recognition
Keyword(5) Freehand Drawing
1st Author's Name Tetsuya OHKAWA
1st Author's Affiliation Department of Computer Science and Systems Engineering, Muroran Institute of Technology()
2nd Author's Name Sato SAGA
2nd Author's Affiliation Department of Computer Science and Systems Engineering, Muroran Institute of Technology
Date 1998/1/22
Paper # PRMU97-202
Volume (vol) vol.97
Number (no) 500
Page pp.pp.-
#Pages 8
Date of Issue