On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognition of Cursive Roman Handwriting - Past, Present and Future
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Towards Whole-Book Recognition
DAS '08 Proceedings of the 2008 The Eighth IAPR International Workshop on Document Analysis Systems
Knowledge technologies for the social semantic desktop
KSEM'07 Proceedings of the 2nd international conference on Knowledge science, engineering and management
Automatic recognition and interpretation of pen- and paper-based document annotations
KI'09 Proceedings of the 32nd annual German conference on Advances in artificial intelligence
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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.