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Results Obtained Using a Simple Character Recognition Procedure on Munson's Handprinted Data

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3 Author(s)
Hussain, A.B.Shahidul ; Department of Electric Engineering, University of British Columbia, Vancouver 8, B. C., Canada. ; Toussaint, G.T. ; Donaldson, R.W.

The number of black points in each of the 25 nonoverlapping square regions of a size-normalized character matrix were used to recognize the 3822 uppercase handprinted alphabetic characters from Munson's multiauthor data set. The recognition accuracy obtained using a Bayes' classifier, which assumes statistically independent features, compares favorably with earlier results obtained using recognition systems having complexity comparable to ours. Included are results and a recommendation regarding system evaluation procedures.

Published in:

Computers, IEEE Transactions on  (Volume:C-21 ,  Issue: 2 )

Date of Publication:

Feb. 1972

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