DocumentCode
1190812
Title
An Autonomous Reading Machine
Author
Casey, Richard G. ; Nagy, George
Author_Institution
IEEE
Issue
5
fYear
1968
fDate
5/1/1968 12:00:00 AM
Firstpage
492
Lastpage
503
Abstract
Abstract—An unconventional approach to character recognition is developed. The resulting system is based solely on the statistical properties of the language, therefore it can read printed text with no previous training or a priori information about the structure of the characters. The known letter-pair frequencies of the language are used to identify the printed symbols in the following manner.
Keywords
Index Terms—Adaptive, character recognition, clustering, cryptograms, linear categorizer, pattern classification, reading machine.; Character recognition; Clustering algorithms; Cryptography; Frequency; Helium; Pattern classification; Testing; Text recognition; Index Terms—Adaptive, character recognition, clustering, cryptograms, linear categorizer, pattern classification, reading machine.;
fLanguage
English
Journal_Title
Computers, IEEE Transactions on
Publisher
ieee
ISSN
0018-9340
Type
jour
DOI
10.1109/TC.1968.226928
Filename
1687379
Link To Document