Writer adaptation techniques in HMM based off-line cursive script recognition
Pattern Recognition Letters
Recognition of On-line Handwritten Mathematical Formulas in the E-Chalk System
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Combining Online and Offline Handwriting Recognition
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
A survey of table recognition: Models, observations, transformations, and inferences
International Journal on Document Analysis and Recognition
MAP estimation of continuous density HMM: theory and applications
HLT '91 Proceedings of the workshop on Speech and Natural Language
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
Adapting handwriting recognition for applications in algebra learning
Proceedings of the international workshop on Educational multimedia and multimedia education
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Recognition of unconstrained handwritten text is still a challenge. In this paper we consider a new problem, which is the recognition of notes written on a whiteboard. Our recognizer is based on Hidden Markov Models (HMMs). As it is difficult to acquire sufficient amounts of training data for the HMMs we propose two strategies for enlarging the training set. Both strategies are based on an existing database of off-line handwritten text, which includes handwriting samples different from whiteboard data. The two proposed strategies are MAP adaptation and merging of training sets. With these methods we can achieve improvements of the word recognition rate of up to 5.7%.