Pattern searching method using neural networks and correlation

Details Pattern searching method using neural networks and correlation Pattern searching method using neural networks and correlation

1997-08-13

1999-11-30

Chang, Jon

Image analysis

Learning systems

Trainable classifiers or pattern recognizers

382181, G06K 962

Patent

active

059956526

ABSTRACT:
A pattern searching method using neural networks and correlation. This method combines the quickness and adaptiveness of neural networks with the accuracy of the mathematical correlation approach. Images are divided into small sub-images which are presented to the trained neural network. Sub-images that may contain the pattern or partial pattern are selected by the neural network. The neural network also provides the approximate location of the pattern, therefore the selected sub-images can be adjusted to contain the complete pattern. Desired patterns can be located by measuring the new sub-images' correlation values against the reference models in a small area. Experiments show that this superior method is able to find the desired patterns. Moreover, this method is much faster than traditional pattern searching methods which use only correlation.

REFERENCES:
patent: 5048100 (1991-09-01), Kuperstein
patent: 5095459 (1992-03-01), Ohta et al.
patent: 5245672 (1993-09-01), Wilson et al.
patent: 5542006 (1996-07-01), Shustorovich et al.

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