Automatic tax-sheet input system using handwritten numeral recognition

Author

Kim, Pyeoung Kee ; Lim, Hankyu ; Rho, Kjm Young ; Lee, Kang Yoon ; Kim, Seong Mook

Author_Institution

Dept. of Comput. Sci., Pusan Women´´s Univ., South Korea

Volume

2

fYear

1997

Firstpage

527

Abstract

This paper presents an automatic tax-sheet input system (ATSIS) using a structural numeral recognition. Using an ATSIS is much needed because it helps reduce data input cost and increases the correctness of the input data. A numeral is represented as sequence of stroke codes and feature points. We classify confusing numerals using separate fuzzy functions. An experiment on sample tax-sheets shows favorable results

Keywords

document image processing; financial data processing; fuzzy set theory; image classification; image representation; optical character recognition; ATSIS; automatic tax-sheet input system; confusing numerals; correctness; data input cost; feature points; fuzzy functions; handwritten numeral recognition; representation; sequence; stroke codes; structural numeral recognition; Character recognition; Computer science; Costs; Data mining; Handwriting recognition; Image recognition; Information science; Programming; Shape; Writing;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications., Proceedings of IEEE

Conference_Location

Brisbane, Qld.

Print_ISBN

0-7803-4365-4

Type

conf

DOI

10.1109/TENCON.1997.648260

Filename

648260