@inproceedings{pub5236,
    abstract = {This paper proposes a first attempt to include real semantic
information into the process of handwriting recognition.
We take advantage of the fact that the main topic of handwritten
notes is often known beforehand like in annotation
or reviewing tasks. Using state-of-the-art technologies from
the knowledge management research area it is possible to
store a semantic representation of the user’s knowledge in a
Personal Information Model (PIMO). This PIMO stores the
relations between semantic concepts and documents on the
computer. In this paper we extract texts from related documents
and concepts of the PIMO. The vocabulary of these
texts is then used to aid the recognizer. In our multi-writer
experiments, a significant improvement of the recognition
accuracy by 8% on the text line level has been achieved.},
    year = {2010},
    title = {Improving Handwriting Recognition by the use of Semantic Information},
    booktitle = {Proceedings of the 9th IAPR International Workshop on Document Analysis Systems. IAPR International Workshop on Document Analysis Systems (DAS-10), June 9-11, Boston,, MA, United States},
    pages = {441-446},
    publisher = {o.A.},
    author = {Marcus Liwicki and Hassan Mohamed Abou Eisha and Andreas Dengel},
    url = {http://www.dfki.de/web/kompetenz/vof/publikationen/renameFileForDownload?filename=DAS2010.pdf&file_id=uploads_923}
}