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Results Obtained Using a Simple Character Recognition Procedure on Munson's Handprinted Data
February 1972 (vol. 21 no. 2)
pp. 201-205
A. B. Shahidul Hussain, Department of Electric Engineering, University of British Columbia, Vancouver 8, B. C., Canada.
Godfried T. Toussaint, Department of Electric Engineering, University of British Columbia, Vancouver 8, B. C., Canada.
Robert W. Donaldson, Department of Electric Engineering, University of British Columbia, Vancouver 8, B. C., Canada.
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.
Citation:
A. B. Shahidul Hussain, Godfried T. Toussaint, Robert W. Donaldson, "Results Obtained Using a Simple Character Recognition Procedure on Munson's Handprinted Data," IEEE Transactions on Computers, vol. 21, no. 2, pp. 201-205, Feb. 1972, doi:10.1109/TC.1972.5008927
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