The current paper deals with the matching aspects of this process. Due to variations in even a
single person’s handwriting, it is expected that the matching will be the most difficult step in the
whole process. Two different techniques for matching words are discussed. The first method,
based on Euclidean distance mapping, matches words assuming that the transformation between
the words may be modelled by a translation (shift). The second method, based on an algorithm
developed by Scott and Longuet-Higgins, matches words assuming that the transformation
between the words may be modelled by an affine transform.