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Image spam filtering based on senders' intention analysisImage spam filtering based on senders' intention analysis description/claimsThe Patent Description & Claims data below is from USPTO Patent Application 20090113003, Image spam filtering based on senders' intention analysis. Brief Patent Description - Full Patent Description - Patent Application Claims Contained herein is material that is subject to copyright protection. The copyright owner has no objection to the facsimile reproduction of the patent disclosure by any person as it appears in the Patent and Trademark Office patent files or records, but otherwise reserves all rights to the copyright whatsoever. Copyright© 2007, Fortinet, Inc. 1. Field Embodiments of the present invention generally relate to the field of spam filtering and anti-spam techniques. In particular, various embodiments relate to image analysis and methods for combating spam in which spammers use images to carry the advertising text. 2. Description of the Related Art Image spam was originally created in order to get past heuristic filters, which block messages containing words and phrases commonly found in spam. Since image files have different formats than the text found in the message body of an electronic mail (email) message, conventional heuristic filters, which analyze such text do not detect the content of the message, which may be partly or wholly conveyed by embedded text within the image. As a result, heuristic filters were easily defeated by image spam techniques. To address this spamming technique, fuzzy signature technologies, which flag both known and similar messages as spam, were deployed by anti-spam vendors. Such fuzzy signature technologies allowed message attachments to be targeted, thereby recognizing as spam messages with different content but the same attachment. Spammers now alter the images to make the email message appear different to signature-based filtering approaches yet while maintaining readability of the embedded text message to human viewers. The content of images lies in two levels: (i) the pixel matrix and (ii) the text or graphics these pixel matrices represent. At present, the notion of pixel-based matching does not make sense, as the same text could be represented by countless pixel matrices by simply changing various attributes, such as the font, size, color or by adding noise. Therefore, hash matching and other signature-based approaches have essentially been rendered useless to block image spam as they fail as a result of even minor changes to the background of the image. Some vendors have attempted to catch image spam by employing Optical Character Recognition (OCR) techniques; however, such approaches have only limited success in view of spammers\' use of techniques to obscure the embedded text messages with a variety of noise. Systems and methods are described for an anti-spam detection module that can detect image spam. According to one embodiment, one or more of the quantity and position of text within an image associated with an electronic message are measured or estimated. Then, based at least in part on the results of the measuring or estimating, the likelihood that the electronic message is spam is determined. According to another embodiment, an embedded image of an electronic mail (email) message is converted to a binarized representation by performing thresholding on a grayscale representation of the embedded image. A quantity of text included in the embedded image is then determined and measured by analyzing one or more blocks of the binarized representations. Finally, the email message is classified as spam or clean based at least in part on the quantity of text measured. In one embodiment, the embedded image may be formatted in accordance with the Graphic Interchange Format (GIF), Joint Photographic Experts Group (JPEG) or Portable Network Graphics (PNG) formats/standards. In one embodiment, the embedded image may be an image contained within a file attached to the email message. In one embodiment, the method also includes determining an approximate display location of an embedded image within the email message and identifying existence of one or more abnormal factors associated with the embedded image. Then, the classification can be based upon the approximate display location, the existence of one or more abnormal factors as well as the quantity of text measured. Other features of embodiments of the present invention will be apparent from the accompanying drawings and from the detailed description that follows. Embodiments of the present invention are illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings and in which like reference numerals refer to similar elements and in which: Continue reading about Image spam filtering based on senders' intention analysis... Full patent description for Image spam filtering based on senders' intention analysis Brief Patent Description - Full Patent Description - Patent Application Claims Click on the above for other options relating to this Image spam filtering based on senders' intention analysis patent application. 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