Name
Title | ||
|---|---|---|
Automatic recognition and interpretation of pen- and paper-based document annotations |
Abstract | ||
|---|---|---|
In this paper we present a system which recognizes handwritten annotations on printed text documents and interprets their semantic meaning. This system processes in three steps. In the first step, document analysis methods are applied to identify possible gestures and text regions. In the second step, the text and gestures are recognized using several state-of-the-art recognition methods. In the fourth step, the actual marked text is identified. Finally, the recognized information is sent to the Semantic Desktop, the personal Semantic Web on the Desktop computer, which supports users in their information management. In order to assess the performance of the system, we have performed an experimental study. We evaluated the different stages of the system and measured the overall performance. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-04617-9_73 | KI |
Keywords | Field | DocType |
different stage,printed text document,actual marked text,desktop computer,text region,automatic recognition,personal semantic web,system process,overall performance,information management,paper-based document annotation,semantic desktop,semantic web | Document analysis,Information management,Information retrieval,Semantic Web Stack,Semantic desktop,Computer science,Gesture,Gesture recognition,Handwriting recognition,Semantic Web,Artificial intelligence,Natural language processing | Conference |
Volume | ISSN | ISBN |
5803 | 0302-9743 | 3-642-04616-9 |
Citations | PageRank | References |
1 | 0.37 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marcus Liwicki | 1 | 1292 | 101.35 |
| Markus Weber | 2 | 166 | 20.97 |
| Andreas Dengel | 3 | 1926 | 280.42 |