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Unité de recherche
INNOSUISSE
Numéro de projet
9909.1;6 PFES-ES
Titre du projet
IMPACT: Image Spam Classification
Titre du projet anglais
IMPACT: Image Spam Classification

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Résumé des résultats (Abstract)
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CatégorieTexte
Description succincte
(Anglais)
IMPACT: Image Spam Classification
Résumé des résultats (Abstract)
(Anglais)
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.