Hans-Jürgen Winkler

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In this paper a soft-decision approach for symbol segmentation within on-line sampled handwritten mathematical expressions is presented. Based on stroke-specific features as well as geometrical features between the strokes a symbol hypotheses net is generated. For assistance additional knowledge obtained by a symbol prerecognition stage is used. The results(More)
This paper addresses the problem of recognizing on-line sampled handwritten symbols. Within the proposed symbol recognition system based on Hidden Markov Models different kinds of feature extraction algorithms are used analysing on-line features as well as off-line features and combining the classification results. By conducting writer-dependent recognition(More)
In this paper 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(More)
In this paper an efficient system for structural analysis of handwritten mathematical expressions is proposed. To handle the problems caused by handwriting, this system is based on a soft-decision approach. This means that alternatives for the solution are generated during the analysis process if the relation between two symbols within the expression is(More)
This paper is concerned with the symbol segmentation and recognition task in the context of on-line sampled handwritten mathematical expressions, the first processing stage of an overall system for understanding arithmetic formulas. Within our system a statistical approach is used tolerating ambiguities within the decision stages and resolving them either(More)
This paper is focused on the symbol segmentation and recognition problem within on-line sampled handwritten expressions, the first stage of an overall system for understanding arithmetic formulas. Within our system a statistical approach is used tolerating ambiguities within the single decision stages and resolving them either automatically by additional(More)
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