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High accuracy optical character recognition using neural networks with centroid dithering

  • US 5,475,768 A
  • Filed: 04/29/1993
  • Issued: 12/12/1995
  • Est. Priority Date: 04/29/1993
  • Status: Expired due to Fees
First Claim
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1. A computer-implemented process of recognizing a pattern in an image among a set of known templates, the process comprising:

  • a) training a neural network using said set of known templates;

    b) scanning said image;

    c) detecting said pattern by segmenting said scanned image into a detected pattern comprising a plurality of pixels, each such pixel having a value;

    d) preprocessing said detected pattern by;

    i) determining a minimum of said values of said pixels;

    ii) subtracting the minimum from said values of said pixels;

    producing thereby a corrected value for each such pixel; and

    iii) filtering said corrected pixel values by selectively assigning a predetermined filtered pixel value to a subset of said pixels responsive to said corrected values of said pixels in said subset not exceeding a threshold value; and

    e) recognizing said preprocessed detected pattern as corresponding to one of said known templates by applying said preprocessed detected pattern to said trained neural network.

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