Optical pattern recognition using detector and locator neural ne

Image analysis – Histogram processing – For setting a threshold

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382 48, 382 7, 382 9, 395 21, G06K 962, G06K 920, G06K 934

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052395936

ABSTRACT:
A system for performing optical pattern recognition includes a first detector neural network for detecting the presence of a particular optical pattern in an input image and a second locator neural network for locating and/or removing the particular optical pattern from the input image. The detector network and the locator network both comprise nodes which can take on the -1, +1, or undefined states. The nodes are arranged in layers and each node in a layer has a location corresponding to a pixel in the input image. A particular application of this neural network is in finding the amount field on a check and removing the line which borders the amount field.

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patent: 5060276 (1991-10-01), Morris et al.
"A Neural Network Model for Selective Attention in Visual Pattern Recognition" by K. Fukushima, Biological Cybernetics 55,5-15 (1986).

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