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 :
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