Application of neural networks in name card classification

Author

Hung, Sheung-Lun ; Ken Chee Keung Law ; Kwok, Lam-For

Author_Institution

Dept. of Comput. Sci., City Polytech. of Hong Kong, Kowloon, Hong Kong

fYear

1994

fDate

29 Nov-2 Dec 1994

Firstpage

105

Lastpage

109

Abstract

Name cards generally consists of figures, Chinese and English characters. The English characters can be in different fonts and various sizes. A name card storage and retrieval system which can discriminate the segments of interest on the name card and using neural networks for character recognition has been developed. A semantic field recognition technique has also been implemented to allow the automatic storage of name card information in a popular database system. The segmentation technique used in the discrimination process is found to be very satisfactory. The system is extremely efficient in terms of space and speed

Keywords

document image processing; image segmentation; multilayer perceptrons; optical character recognition; visual databases; Chinese characters; English characters; automatic storage; character recognition; database system; fonts; name card classification; name card storage system; neural networks; retrieval system; segmentation technique; semantic field recognition; Application software; Character recognition; Computer science; Database systems; Image segmentation; Intelligent networks; Neural networks; Optical character recognition software; Optical computing; Prototypes;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Systems,1994. Proceedings of the 1994 Second Australian and New Zealand Conference on

Conference_Location

Brisbane, Qld.

Print_ISBN

0-7803-2404-8

Type

conf

DOI

10.1109/ANZIIS.1994.396940

Filename

396940