Method for determining attributes using neural network and fuzzy

Details Method for determining attributes using neural network and fuzzy Method for determining attributes using neural network and fuzzy

1995-06-16

1997-08-05

Razavi, Michael T.

Image analysis

Pattern recognition

Feature extraction

382156, 382203, G06K 946, G06K 966

Patent

active

056550316

ABSTRACT:
An attribute decision method includes steps of making a comparison between one feature value, selected from seven feature values, of an input pattern contained in an input image and membership functions determined from 37 standard patterns including alphanumeric characters of "0" to "9" and "A" to "Z" and a hyphen of "-" with respect to the selected feature value and then obtaining output values of the membership functions for the individual standard patterns with respect to the input pattern. The seven feature values are, when the input pattern is a mesh pattern, vertical structure vector sums, horizontal structure vector sums, up-down and left-right area differences, and a vertical cross number. The method also includes steps of calculating a total value of the output value for the feature value for each of the standard patterns, and determining a standard pattern of the highest total value among the calculated total values and thus deciding one of the standard patterns which has the highest similarity to the input pattern.

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