DocumentCode :
2061054
Title :
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
Link To Document :
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