RECOGNITION OF ON-LINE HANDWRITTEN FORMULAS

This paper describes a system for the recognition of online handwritten mathematical expressions. The system presented here is based on Hidden Markov Models (HMMs) and offers thus the advantage of a simultaneous segmentation and recognition, avoiding the complex and crucial handwriting segmentation during pre-processing. The segmentation and recognition result is used in a further step for the interpretation of the symbols and their spatial relationships. Under consideration of some constraints to the handwriting production process, ambiguities can be resolved and the results are transformed into TEX-syntax for visualization purposes.

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