Abstract: A system for categorizing electronic messages is based on analysis of images within them. Information is extracted about potential text areas in an image and represented as a series of bounding polygons that circumscribe the text-containing regions of the image. Descriptive information and statistics are extracted from the set of bounding polygons and a set of textual representations suitable for pattern matching or Bayesian analysis is produced. The derived categorization may be used to drive classification-based engines. In an electronic message classifier, the classifier derives information from at least one textual token for use in making a probabilistic classification of the electronic message.

Abstract: A system that allows senders to manage electronic messaging content at the point of origin integrates with the client application being used to prepare the message for sending. A send request is intercepted inside the client and a series of message analysis steps is performed that analyze the sender, recipient, message, any attachments to the message, and/or related content and information. The output of the message analysis steps is made available for use with rules that specify the performance of a number of actions. The content analysis steps and the actions taken may be determined by the sender or may be centrally managed and determined by an organization.