Reuven Gevaryahu

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Recently, spammers have proliferated " image spam " , emails which contain the text of the spam message in a human readable image instead of the message body, making detection by conventional content filters difficult. New techniques are needed to filter these messages. Our goal is to automatically classify an image directly as being spam or ham. We present(More)
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