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Automated generation of spam-detection rules using optical character recognition and identifications of common features

  • US 20090077617A1
  • Filed: 09/13/2007
  • Published: 03/19/2009
  • Est. Priority Date: 09/13/2007
  • Status: Abandoned Application
First Claim
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1. A computer-implemented method of enabling spam detection comprising:

  • identifying a set of images as being spam;

    applying optical character recognition (OCR) techniques to said images to provide text strings representative of content of individual said images;

    applying automated techniques to said text strings to identify common text-related features and patterns of a plurality of said text strings, wherein said common text-related features and patterns are determined to be indicative of spam;

    generating spam-detection rules based on identifications of said common text-related features and patterns; and

    applying said spam-detection rules to electronic communications to detect occurrences of spam within said electronic communications.

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