Optimizing the Integration of a Statistical Language Model in HMM based O .ine Handwritten Text Recognition

Authors:
Matthias Zimmermann;Horst Bunke
Affiliations:
University of Bern, Switzerland;University of Bern, Switzerland
Venue:
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Year:
2004

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Abstract

Although handwritten text recognition has been studied for some years, only few authors have used statistical language models to increase the performance of their recognizers. In those few cases where a language model has been used, its integration has not been systematically optimized. In this paper we investigate the optimization ofthe integration of statistical language models into HMM based recognition systems for offline handwritten text. Based on experiments with the IAM database we show that the recognition performance of a general offline handwritten text recognizer can be substantially improved.