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Methods and systems for identifying text in digital images

  • US 7,876,959 B2
  • Filed: 09/06/2006
  • Issued: 01/25/2011
  • Est. Priority Date: 09/06/2006
  • Status: Expired due to Fees
First Claim
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1. A method for identifying text in a digital image, said method comprising:

  • a) in an image processing system comprising at least one computing device, expanding a support region of a candidate text pixel in a text-candidate map, wherein said expanding comprises;

    i) receiving an edge map wherein said edge map identifies edges in said digital image;

    ii) generating an edge count wherein said edge count generating comprises associating an entry in said edge count with a neighborhood in said edge map and the value of said entry in said edge count is the sum of the edge pixels in said neighborhood in said edge map;

    iii) receiving a text-candidate map wherein said text-candidate map identifies text-candidate pixels in said digital image; and

    iv) generating a text count wherein said text count generating comprises an entry in said text count with a neighborhood in said text-candidate map and the value of said entry in said text count is the sum of the text-candidate pixels in said neighborhood in said text-candidate map,thereby producing a revised text-candidate map;

    b) in said image processing system, discriminating pictorial regions in said digital image based on an entropy measure comprising masking using said revised text-candidate map; and

    c) in said image processing system, refining said revised text-candidate map based on said pictorial regions.

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