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

Volume

4

fYear

1997

fDate

21-24 Apr 1997

Firstpage

3377

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on

Conference_Location

Munich

ISSN

1520-6149

Print_ISBN

0-8186-7919-0

Type

conf

DOI

10.1109/ICASSP.1997.595518

Filename

595518