Hierarchical constrained automatic learning network for characte

Details Hierarchical constrained automatic learning network for characte Hierarchical constrained automatic learning network for characte

1990-01-31

1991-10-15

Boudreau, Leo H.

Image analysis

Histogram processing

For setting a threshold

382 49, G06K 966

Patent

active

050581791

ABSTRACT:
Highly accurate, reliable optical character recognition is afforded by a hierarchically layered network having several layers of parallel constrained feature detection for localized feature extraction followed by several fully connected layers for dimensionality reduction. Character classification is also performed in the ultimate fully connected layer. Each layer of parallel constrained feature detection comprises a plurality of constrained feature maps and a corresponding plurality of kernels wherein a predetermined kernel is directly related to a single constrained feature map. Undersampling is performed from layer to layer.

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