Title :
Segmentation and recognition of symbols within handwritten mathematical expressions
Author :
Koschinski, M. ; Winkler, H.-J. ; Lang, M.
Author_Institution :
Inst. for Human-Machine Commun., Munich Univ. of Technol., Germany
Abstract :
An efficient on-line recognition system for symbols within handwritten mathematical expressions is proposed. The system is based on the generation of a symbol hypotheses net and the classification of the elements within the net. The final classification is done by calculating the most probable path through the net under regard of the stroke group probabilities and the probabilities obtained by the symbol recognizer based on hidden Markov models
Keywords :
handwriting recognition; hidden Markov models; image classification; mathematics; probability; classification; handwritten mathematical expressions; hidden Markov models; most probable path; on-line recognition system; stroke group probabilities; symbol hypotheses net; symbol recognizer; Data preprocessing; Electronic switching systems; Handwriting recognition; Hidden Markov models; Probability; Smoothing methods; Writing;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-2431-5
DOI :
10.1109/ICASSP.1995.479986
