Image Spam Classification

An Email anti-spam tool consists of a succession of filters through which a message passes. Each filter focuses on specific criteria to determine whether the message is spam or not. Today, spam designers manage in some cases to circumvent these filters. Fastnet is a world leader in the market of anti-spam. The objective of the project is to provide MailCleaner, Fastnet's flagship product, with additional filters based on image recognition. They will use image processing algorithms such as classification by signature extraction and distance computation. This new approach will enhance the set of filters, currently used by MailCleaner products and give Fastnet a new technology advantage against its competition.
Application Area - Security and risk management, Perceptive and Cognitive Systems
Idiap Research Institute
Fastnet SA
Innosuisse - Swiss Innovation Agency
Mar 01, 2009
Aug 31, 2010