Necessity-matching approach for translated, rotated and scale characters recognition from Maps

This paper at first presents a novel approach to recognize characters, numbers or the signs under translation, scaling and rotation (TRS) from Civil Aerial Meteorological Maps by templates, which is based on a new class of moment invariants. Meanwhile, aiming to the important parameter (the range of orders for moment invariants) in it, we prove so that could decrease efficiently the errors brought by the absence or superabundance.