Title :
Online symbol segmentation and recognition in handwritten mathematical expressions
Author :
Winkler, Hans-Jürgen ; Lang, Manfred
Author_Institution :
Inst. for Human-Machine-Commun., Munich Univ. of Technol., Germany
Abstract :
This paper is concerned with the symbol segmentation and recognition task in the context of online 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 automatically by additional knowledge acquired within the following processing stages or by interaction with the user. The recognition results obtained by different writers and expressions demonstrate the performance of our approach
Keywords :
character recognition; feature extraction; hidden Markov models; image segmentation; pattern classification; arithmetic formulas; handwritten mathematical expressions; online symbol recognition; online symbol segmentation; statistical approach; Arithmetic; Handwriting recognition; Hidden Markov models; Measurement units; Probability; Proposals; Writing;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
Print_ISBN :
0-8186-7919-0
DOI :
10.1109/ICASSP.1997.595518
