Object shape comparability is a challenging problem in the field of pattern recognition and
computer vision. The method based on the geometric moment invariants is the typical method
in these applications. This paper introduces structure moment invariants based on the geometric
moment invariants from transforming the density in geometric moments into a new density.
The difference in the shapes is increased by using the structure moment invariants. Therefore,
this method can be used in object shape analysis. To support our new theory , an algorithm for
object shape analysis is designed and experiments based on square transform are conducted.
Experiments give an encouraging high recognition rate by using the structure moment invariants.«