Employing pixel density to detect a spam image

Details Employing pixel density to detect a spam image Employing pixel density to detect a spam image

2011-02-01

2011-02-01

Patel, Ashok B (Department: 2491)

Electrical computers and digital processing systems: multicomput

Computer conferencing

C382S199000, C382S190000, C382S237000

Reexamination Certificate

active

07882177

ABSTRACT:
A network device and method are directed towards detecting and blocking image spam within a message by performing statistical analysis on differences in edge pixel distribution patterns. An image spam detection component receives a message with an image attachment. Physical characteristics of the image are examined to determine whether the image is a candidate for further analysis. If so, then the image may be converted to a grayscale image, and then performing edge detection, followed by the elimination of non-maxima and thresholding of weak edges. Edge pixels and then employed to determine a normalized pixel density distribution (PDD). Various statistical analyses are applied to the resulting normalized PDD to determine a likelihood that the image is spam. A signature based exemption may be applied to images improperly identified as spam, based on trusted user feedback.

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