Image analysis – Learning systems – Neural networks
Patent
1993-04-20
1995-08-08
Mancuso, Joseph
Image analysis
Learning systems
Neural networks
382159, 382173, 395 21, G06K 962
Patent
active
054406510
ABSTRACT:
A multi-layered pattern recognition neural network that comprises an input layer (28) that is operable to be mapped onto an input space comprising a scan window (12). Two hidden layers (30) and (32) map the input space to an output layer (16). The hidden layers utilize a local receptor field architecture and store representations of objects within the scan window (12) for mapping into one of a plurality of output nodes. Each of the plurality of output nodes and associated representations stored in the hidden layer define an object that is centered within the scan window (12). When centered, the object and its associated representation in the hidden layer result in activation of the associated output node. The output node is only activated when the character is centered in the scan window (12). As the scan window (12) scans a string of text, the output nodes are only activated when the associated character moves within the substantial center of the scan window. The network is trained by backpropagation through various letter string such that the letter by itself within the substantial center of the scan window (12) will be recognized, and also the letter with constraints of additional letters on either side thereof will also be recognized. In addition, the center between characters is recognized when it is disposed substantially in the center of scan window (12), and a space is recognized when it is disposed within the substantial center of the scan window (12).
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Howison Gregory M.
Mancuso Joseph
Microelectronics and Computer Technology Corp.
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