mail (also known as "Spam") containing images as the main content
carrier. Using different methods, it analyzes the content and properties
of images to distinguish between normal mails (Ham) and spam mails. The
methods mainly are:
* Optical Character Recognition using different engines and settings
* Fuzzy word matching algorithm applied to OCR results
* Image hashing system to learn unique properties of known spam images
* Dimension, size and integrity checking of images
* Content-Type verification for the containing email
Help from William Yodlowsky <bsd () openbsd.rutgers.edu>
Help and ok steven@, simon@
2a813080bc