Stroke-Based Online Hangul/Korean Character Recognition

Author

Jo, Jinsu ; Lee, Jihyun ; Lee, Yillbyung

Author_Institution

Dept. of Comput. Sci., Yonsei Univ., Seoul, South Korea

fYear

2009

fDate

4-6 Nov. 2009

Firstpage

1

Lastpage

5

Abstract

In this paper we propose a stroke recognition method for online handwritten Hangul recognition system. The proposed system extracts a distance-dependent curvature from two-dimensional original stroke data and achieves elastic matching between distance-dependent curvatures of reference and test characters. Elastic curvature matching has lower computational requirement than existing 2D-to-2D elastic matching. Each recognized stroke from the elastic curvature matching is converted into a Hangul syllable and additional position information is added to improve performance of the recognizer in this process.

Keywords

computational geometry; curve fitting; handwritten character recognition; natural language processing; pattern matching; Hangul syllable; distance-dependent curvature extraction; elastic matching; online Hangul-Korean handwritten character recognition; position information; stroke recognition method; Cameras; Character recognition; Computer science; Data mining; Electronic equipment; Handwriting recognition; Keyboards; Personal digital assistants; Speech recognition; System testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2009. CCPR 2009. Chinese Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4244-4199-0

Type

conf

DOI

10.1109/CCPR.2009.5343953

Filename

5343953