ON-LINE HANDWRITTEN FORMULA RECOGNITION

This paper presents an approach for the recognition of online handwritten mathematical expressions. Using the simultaneous segmentation and recognition capabilities of Hidden Markov Models (HMMs), it is possible to avoid 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. Ambiguities can be resolved under consideration of some constraints to the handwriting production process. For visualization purposes, the results are transformed into T_EX-syntax. Some recognition results, which were obtained with a writer-dependent system are presented in Sect. 5.