Unconstrained handwriting recognition

Image analysis – Pattern recognition – Feature extraction

Reexamination Certificate

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Details

C382S156000, C382S224000, C706S020000

Reexamination Certificate

active

10225198

ABSTRACT:
Methods and systems of the present invention may be used to recognize digital image data arranged in rows and columns. Exemplary embodiments may include a feature extractor for extracting feature information from data representing the rows and columns of the digital image data, a feature compressor for compressing the extracted feature information, and a neural network for classifying the digital image data from the compressed, extracted feature information.

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patent: 896295 (1999-02-01), None
IEEE Transactions on Circuits and Systems, “CNN Cloning Template: Connected Component Detector,” Matsumoto et al., vol. 37, No. 5, pp. 633-635, May 1990.

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