Network Security White Papers
Spam Image Identification Using an Artificial Neural Network
Overview This paper proposes a method for identifying image spam by training an artificial neural network. A detailed process for preprocessing spam image files is given, followed by a description on how to train an artificial neural network to distinguish between ham and spam. Finally, they exercise the trained network by testing it against unknown images.
| Publisher | University of Akron | File Format | |
|---|---|---|---|
| Date Published | March 2008 | ||
| Format | White Papers | ||
| Topics | |||
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