Extraction and Classification of Handwritten Annotations

This 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.


Presented at:
1st International Workshop on Paper Computing, a Ubicomp 2010 workshop (PaperComp 2010), Copenhagen, Denmark, September 26, 2010
Year:
2010
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 Record created 2010-11-29, last modified 2018-03-18

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