Security technologies have advanced at an accelerated pace in the past few decades. These advancements in cyber security have benefitted many organizations and companies interested in protecting their virtual assets.

Advanced Image-Based Spam Detection and Filtering Techniques provides a detailed examination of the latest strategies and methods used to protect against virtual spam. Featuring comprehensive coverage across a range of related topics such as image filters, optical character recognition, fuzzy inference systems, and near-duplicate detection, this book is an ideal reference source for engineers, business managers, professionals, and researchers seeking innovative technologies to aid in spam recognition.