A generalized knowledge-based system for the recognition of unconstrained handwritten numerals

Author

Mai, Tuan A. ; Suen, Ching Y.

Author_Institution

Concordia Univ., Montreal, Que., Canada

Volume

20

Issue

4

fYear

1990

Firstpage

835

Lastpage

848

Abstract

A method of recognizing unconstrained handwritten numerals using a knowledge base is proposed. Features are collected from a training set and stored in a knowledge base that is used in the recognition stage. Recognition is accomplished by either an inference process or a structural method. The scheme is general, flexible, and applicable to different methods of feature extraction and recognition. By changing the acceptance parameters, a continuous range of performance can be achieved. Encouraging results on nearly 17000 totally unconstrained handwritten numerals are presented. The performance of the system under different recognition-rejection tradeoff ratios is analyzed in detail

Keywords

character recognition; computerised pattern recognition; knowledge based systems; character recognition; feature extraction; inference process; knowledge-based system; recognition-rejection tradeoff ratios; structural method; unconstrained handwritten numerals; Character recognition; Computer science; Computer science education; Feature extraction; Handwriting recognition; Humans; Knowledge based systems; Out of order; Performance analysis; Voting;

fLanguage

English

Journal_Title

Systems, Man and Cybernetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9472

Type

jour

DOI

10.1109/21.105083

Filename

105083