Method and apparatus for hierarchical input classification using

Image analysis – Histogram processing – For setting a threshold

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395 20, 395 11, 395 24, 382156, G06K 962, G06K 1518

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056384912

ABSTRACT:
An input is classified into one of a plurality of possible outputs. A top-level classifier generates an approximate identification for the input as one of the possible outputs and selects two or more neural networks corresponding to the approximate identification. The selected neural networks generate two or more identifications for the input as one or more of the possible outputs. A postprocessor classifies the input as one of the possible outputs in accordance with the two or more identifications of the selected neural networks. According to an alternative embodiment, a top-level classifier selects a subset of neurons of a neural network and the subset of neurons identifies the input as one of the possible outputs.

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