A new method for fast computation of moments based on 8-neighor chain code applied to 2-D object recognition

摘要

2-D moment invariants have been successfully applied in pattern recognition tasks. The main difficulty of using moment invariants is the computational burden. To improve the algorithm of moments computation through an iterative way, an approachfor fast computation of moments based on the 8-neighbor chain code is proposed in this paper. Then artificial neural networks are applied for 2D shape recognition with moment invariants. Compared with the method of polygonal approximation, this approachshows higher accuracy in shape representation and faster recognition speed in experiments.