Pattern recognition neural net insensitive to disturbances in in

Details Pattern recognition neural net insensitive to disturbances in in Pattern recognition neural net insensitive to disturbances in in

1992-11-04

1995-03-07

Couso, Yon J.

Image analysis

Histogram processing

For setting a threshold

382 15, 395 21, 395 23, G06K 962

Patent

active

053965655

ABSTRACT:
In a neural network assembly for use in pattern recognition, a memory region memorizes reference patterns along with their categories. A pattern associator neural network is connected to the memory region and is trained in accordance with a back-propagation training algorithm in a training phase of operation to correctly recognize the reference patterns according to the categories. An adaptive input region is connected to the neural network, supplied with roughly segmented patterns as input patterns, and trained in a recognition phase of operation following the training phase. and correctly processes the input patterns into processed patterns which the neural network can correctly recognize according to the categories. Preferably, the assembly is operable in the training phase as comprising the memory region, the neural network, and a controlling part which is connected to the memory region and the neural network to train the neural network. In the recognition phase the assembly is operable as comprising the input region, the neural network and the controlling part which is now connected to the input region and the neural network and adjusts the input region so that each roughly segmented pattern may approach a pertinent one of the reference patterns.

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