Method and apparatus for symbol recognition using multidimension

Details Method and apparatus for symbol recognition using multidimension Method and apparatus for symbol recognition using multidimension

1992-10-13

1997-07-08

Boudreau, Leo

Image analysis

Learning systems

Neural networks

382224, G06K 962

Patent

active

056470223

ABSTRACT:
Data samples describing a plurality of micro-segments that compose a symbol to be recognized are received from a device such as an electronic pad. A preprocessor maps the micro-segments into cells of an array that has several feature dimensions. The preprocessor assigns values to the cells based on the length of a micro-segment associated with the cell, and how well the features of the associated micro-segment correspond to the feature label of the cell. The cell values are used as inputs to at least one of a plurality of neural networks, where each neural network is trained to identify symbols from a different group of symbols. A sorter examines the symbol to determine which neural network should be used to recognize the symbol. An output produced by the sorter controls a switching means that communicates the cell values to the proper neural network.

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