This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Automatic Feature Design for Optical Character Recognition Using an Evolutionary Search Procedure
March 1985 (vol. 7 no. 3)
pp. 349-355
Fred W. M. Stentiford, British Telecom Research Laboratories. Ipswich, Suffolk, England.
An automatic evolutionary search is applied to the problem of feature extraction in an OCR application. A performance measure based on feature independence is used to generate features which do not appear to suffer from peaking effects [17]. Features are extracted from a training set of 30 600 machine printed 34 class alphanumeric characters derived from British mail. Classification results on the training set and a test set of 10 200 characters are reported for an increasing number of features. A 1.01 percent forced decision error rate is obtained on the test data using 316 features. The hardware implementation should be cheap and fast to operate. The performance compares favorably with current low cost OCR page readers.
Citation:
Fred W. M. Stentiford, "Automatic Feature Design for Optical Character Recognition Using an Evolutionary Search Procedure," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 7, no. 3, pp. 349-355, March 1985, doi:10.1109/TPAMI.1985.4767665
Usage of this product signifies your acceptance of the Terms of Use.