A hierarchical deformation model for on-line cursive script recognition

Wen Tsuen Chen, Tzren Ru Chou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper we propose a hierarchical deformation model to describe the deformation of cursive Chinese characters for on-line character recognition. The new approach consists of two levels of match processes. First, the attributed string editing algorithm determines the stroke correspondence between the input and the reference patters. Next, the constrained parabola transformation is used to reduce the difference between the matched strokes appropriately. Experimental results show that our hierarchical deformation model provides a robust distance measure between patterns, and obtains a quite accurate approximation to the deformation of cursive Chinese characters with much lower computational cost.

Original languageEnglish
Title of host publicationConference B
Subtitle of host publicationPattern Recognition Methodology and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages195-199
Number of pages5
ISBN (Print)0818629150
DOIs
Publication statusPublished - 1992 Jan 1
Event11th IAPR International Conference on Pattern Recognition, IAPR 1992 - The Hague, Netherlands
Duration: 1992 Aug 301992 Sep 3

Publication series

NameProceedings - International Conference on Pattern Recognition
Volume2
ISSN (Print)1051-4651

Conference

Conference11th IAPR International Conference on Pattern Recognition, IAPR 1992
CountryNetherlands
CityThe Hague
Period92/8/3092/9/3

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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