Image moments analysis is a very useful tool which allows image description invariant to translation and rotation, scale
change and some types of image distortions. The aim of this work was development of simple method for fast and
reliable classification of characters by using Hu's and affine moment invariants. Measure of Eucleidean distance was
used as a discrimination feature with statistical parameters estimated. The method was tested in classification of Times
New Roman font letters as well as sets of the handwritten characters. It is shown that using all Hu's and three affine
invariants as discrimination set improves recognition rate by 30%.