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Variable Data Printing (VDP) offers the ability to uniquely tag each item in a serialized list, which increases product security. However, it is often not cost-effective or practical to employ VDP, in which case each item is printed with the same set of images. The brand owner should be able to use such "static" printed areas to gauge if the printing was performed by an authentic or a counterfeit printer/label converter. In this paper, the author describes a system that uses a small set of pre-classified images (either authentic or counterfeit images from the same source) for initial training, and thereafter adaptively classifies and aggregates images from multiple sources as they join the population to be classified.
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