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Improving handwriting recognition by the use of semantic information

Published: 09 June 2010 Publication History

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.

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Cited By

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  • (2012)Koios++Proceedings of the 2012 10th IAPR International Workshop on Document Analysis Systems10.1109/DAS.2012.48(17-21)Online publication date: 27-Mar-2012
  • (2010)Ontology-Based Information Extraction from Handwritten DocumentsProceedings of the 2010 12th International Conference on Frontiers in Handwriting Recognition10.1109/ICFHR.2010.82(483-488)Online publication date: 16-Nov-2010

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cover image ACM Other conferences
DAS '10: Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
June 2010
490 pages
ISBN:9781605587738
DOI:10.1145/1815330
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 09 June 2010

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Cited By

View all
  • (2012)Koios++Proceedings of the 2012 10th IAPR International Workshop on Document Analysis Systems10.1109/DAS.2012.48(17-21)Online publication date: 27-Mar-2012
  • (2010)Ontology-Based Information Extraction from Handwritten DocumentsProceedings of the 2010 12th International Conference on Frontiers in Handwriting Recognition10.1109/ICFHR.2010.82(483-488)Online publication date: 16-Nov-2010

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