Off-line recognition of Korean scripts using distance matching and neural network classifiers

Author

Kim, Soo Hyung ; Doh, Jeong-In

Author_Institution

Multimedia Center, Samsung Electron. Co. Ltd., Kyungki, South Korea

Volume

1

fYear

1995

fDate

14-16 Aug 1995

Firstpage

34

Abstract

An off-line recognition engine is proposed for handwritten Korean characters based on a distance matching and the neural network technique. The distance matching selects a set of several candidates from the large set of character classes, and the neural network performs a detailed classification on the candidates. As an approach for combining the two methodologies, a clustering method based on sample distributions has been devised. Recognition accuracy of the engine on a public database, PE92, is 84.1%. About four character patterns can be processed in a second on PC

Keywords

character recognition; character sets; document image processing; image matching; microcomputer applications; neural nets; Korean scripts; PC; PE92 public database; character classes; character patterns; clustering method; distance matching; handwritten Korean characters; neural network classifiers; off-line recognition engine; recognition accuracy; sample distributions; Character recognition; Clustering methods; Databases; Electronic mail; Engines; Handwriting recognition; Image segmentation; Neural networks; Pattern recognition; Pixel;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 1995., Proceedings of the Third International Conference on

Conference_Location

Montreal, Que.

Print_ISBN

0-8186-7128-9

Type

conf

DOI

10.1109/ICDAR.1995.598938

Filename

598938