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Recognizing dataforms in image areas

  • US 5,867,594 A
  • Filed: 11/01/1996
  • Issued: 02/02/1999
  • Est. Priority Date: 06/15/1994
  • Status: Expired due to Fees
First Claim
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1. A method for evaluating an image and identifying characteristics of a dataform therein, the method comprising the steps of:

  • (a) sampling a portion of an image comprised of a plurality of pixels, to obtain a plurality of reflective values respectively associated with the plurality of pixels;

    (b) determining, for each said portion of the image, the number of occurrences of each reflective value of said plurality of reflective values, wherein the number of occurrences are occurrence data;

    (c) categorizing the occurrence data in one of the following groups;

    (i) first occurrence data indicative of presence of a first principal reflective value and a second principal reflective value, wherein said first and second principal reflective values have a relatively greater number of occurrences in said portion of the image than other reflective values therein, and(ii) second occurrence data indicative of presence of a third principal reflective value, wherein said third principal reflective value has a relatively greater number of occurrences in said portion of the image than other reflective values therein;

    (d) repeating steps (a), (b) and (c) for one or more portions of the image to provide at least one first occurrence data and at least one second occurrence data;

    (e) comparing each of the first and second principal reflective values to the third principal reflective value; and

    (f) determining which of the first and second principal reflective values is most distinct from the third principal reflective value.

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