Title :
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
fDate :
29 Nov-2 Dec 1994
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;
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
DOI :
10.1109/ANZIIS.1994.396940