A high performance hand-printed numeral recognition system with verification module

Author

Zhou, Jie ; Gan, Qiang ; Suen, Ching Y.

Author_Institution

Centre for Pattern Recognition & Machine Intelligence, Concordia Univ., Montreal, Que., Canada

Volume

1

fYear

1997

fDate

18-20 Aug 1997

Firstpage

293

Abstract

The paper describes a high performance offline system for recognizing hand printed numerals. An innovative verification module is applied which drastically improves the recognition rate. The approaches used in the modules are described. The importance of the verification module is analysed in detail. A practical automatic form reading system TOCR V1.0 was developed based on the algorithms. The system was put into practical use in several provinces of China for statistical analysis of Revenue China. Test results are given based on: 1) data collected when the system was used in China, as well as 2) the CENPARMI database

Keywords

document image processing; government data processing; handwriting recognition; optical character recognition; program verification; statistical analysis; CENPARMI database; Revenue China; TOCR V1; hand printed numeral recognition; high performance hand printed numeral recognition system; high performance offline system; innovative verification module; practical automatic form reading system; statistical analysis; verification module; Character recognition; Databases; Feature extraction; Handwriting recognition; Machine intelligence; Optical character recognition software; Pattern recognition; Statistical analysis; System testing; Writing;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on

Conference_Location

Ulm

Print_ISBN

0-8186-7898-4

Type

conf

DOI

10.1109/ICDAR.1997.619859

Filename

619859