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The project implemented an on-line handprinted character recogniser. A Bayesian decision rule was used in conjunction with selected feature transformations. Fourier transformations and transformations derived from discriminant analysis were compared. Discriminant features generally proved superior to those derived from Fourier analysis. A recognition rate of 98% was achieved with the use of the first 4 discriminant functions. The character set included numerals and arithmetic operators. The results from the current system provide a basis for constructing a practical device for data entry.