Mazzei, AndreaKaplan, FrédéricDillenbourg, Pierre2010-11-292010-11-292010-11-292010https://infoscience.epfl.ch/handle/20.500.14299/59270This article describes a method for extracting and classifying handwritten annotations on printed documents using a simple camera integrated in a lamp or a mobile phone. The ambition of such a research is to offer a seamless integration of notes taken on printed paper in our daily interactions with digital documents. Existing studies propose a classification of annotations based on their form and function. We demonstrate a method for automating such a classification and report experimental results showing the classification accuracy.machine-printed and handwritten text separationDocument processingannotation classificationtranscriptiontext::conference output::conference presentation