DocumentCode
1993374
Title
Handwritten Hangul character recognition with hierarchical stochastic character representation
Author
Kang, Kyung-Won ; Kim, Jin H.
Author_Institution
Dept. of Comput. Sci., KAIST, Daejon, South Korea
fYear
2003
fDate
3-6 Aug. 2003
Firstpage
212
Abstract
In structural character recognition, a character is usually viewed as a set of strokes and the spatial relationships between them. In this paper, we propose a stochastic modeling scheme by which strokes as well as relationships are represented by utilizing the hierarchical characteristics of target characters. Based on the proposed scheme, a handwritten Hangul (Korean) character recognition system is developed. The effectiveness of the proposed scheme is shown through experimental results conducted on a public database.
Keywords
handwriting recognition; handwritten character recognition; stochastic processes; Korean Hangul character; handwritten character recognition; hierarchical character representation; stochastic character representation; stochastic modeling; structural character recognition; Character recognition; Computer science; Databases; Optical character recognition software; Pattern analysis; Shape; Space technology; Statistical analysis; Stochastic processes; Writing;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition, 2003. Proceedings. Seventh International Conference on
Print_ISBN
0-7695-1960-1
Type
conf
DOI
10.1109/ICDAR.2003.1227661
Filename
1227661
Link To Document