The curve-structure invariant moments for shape analysis and recognition

摘要

This correspondence addresses the problem of rotation, scale, and translation invariant recognition of images. 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 curve 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 curve 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 curve structure moment invariants.