Pattern recognition method using fuzzy neuron

Image analysis – Learning systems – Neural networks

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G06K 962

Patent

active

055925642

ABSTRACT:
A method for determining whether a fuzzy symbol matches a predetermined reference pattern by generating membership functions that collectively represent a reference pattern having identifying features; sampling the fuzzy symbol to generate an input pattern representative of the fuzzy symbol; transforming the input pattern to generate an inverted input pattern; comparing the input pattern with a first membership function to determine a first quantity of identifying features of the reference pattern that are present in the fuzzy symbol; comparing the inverted input pattern with a second membership function to determine a second quantity of identifying features of the reference pattern that are present in the fuzzy symbol; and determining that the fuzzy symbol matches the reference pattern if the first and second quantities are sufficiently high.

REFERENCES:
patent: 5131073 (1992-07-01), Furuta et al.
patent: 5202954 (1993-04-01), Miyazawa et al.
patent: 5227678 (1993-07-01), Han et al.
patent: 5272657 (1993-12-01), Basehore et al.
patent: 5295197 (1994-03-01), Takenaga et al.

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