In this paper a stroke feature distribution

method is used to develop a scheme for the recognition of

alphanumeric characters. The algorithm uses a gray level image

of the character as input. The image is normalised. The feature

used is stroke length. The stroke feature vector is calculated at

each point and averaged over image subdivisions which are

equal in area. The results obtained for preclassification and for

test sets of data are shown. All the algorithms were

implemented in C on a MicroVax I1 workstation equipped with

a high resolution Data Translation Image Processing board.