Extraction and Classification of Handwritten Annotations

• Presented at: 1st International Workshop on Paper Computing, a Ubicomp 2010 workshop (PaperComp 2010), Copenhagen, Denmark, September 26, 2010
• Publication date: 2010

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.

Keywords: machine-printed and handwritten text separation, Document processing, annotation classification

Reference

• EPFL-TALK-158760

• URL: http://www.youtube.com/watch?v=rzEHcyU-740
• URL: http://www.youtube.com/watch?v=L5Nhb4rD9CE

Record created on 2010-11-29, modified on 2012-03-21