A handwriting model for syntactic recognition of cursive script

Author

Parizeau, Marc ; Plamondon, Réjean

Author_Institution

Lab. Scribens, Ecole Polytech. de Montreal, Que., Canada

fYear

1992

fDate

30 Aug-3 Sep 1992

Firstpage

308

Lastpage

312

Abstract

Defines an operational handwriting model for online syntactic recognition of cursive script. To represent handwriting, it uses characteristic points linked together by segments of uniform curvature. The model acts as a guide for the extraction of attributed primitives used in shape grammars that model allographs and their adjacency rules. The handwriting model is evaluated by human readers in a comparative analysis of original cursive letter sequences versus their reconstructed traces. Also, its performance is measured in terms of mean reconstruction error and data compression rate

Keywords

character recognition; data compression; feature extraction; grammars; adjacency rules; allographs; attributed primitive extraction; character recognition; cursive script; data compression rate; handwriting model; mean reconstruction error; shape grammars; syntactic recognition; uniform curvature; Assembly; Character recognition; Data compression; Error correction; Handwriting recognition; Humans; Pattern analysis; Pattern recognition; Scholarships; Shape measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on

Conference_Location

The Hague

Print_ISBN

0-8186-2915-0

Type

conf

DOI

10.1109/ICPR.1992.201779

Filename

201779