摘要
在2—D不变性矩快速计算的基础上，利用人工神经网络，使用不变性矩完成2—D形状的识别。实验结果与现有文献的结果比较，本文采用的方法具有特征数目少、意义统一、识别快速、准确的特点。
Artificial neural networks are widely used because of their advantages of parallel processing, fast learning and high error tolerance capacity. The invariant moments proposed by Hu in 1962, as one method for 2-D shape description, can extract features from sampling space efficiently. on the basis of the fast calculation of moments, in this paper we propose a method to recognize 2-D shapes by using the BP network and the invariant moments. Compared with existing results, our experimental results show that this method has the advantages of fewer feature numbers,fast calculation and high recognition accuracy
关键词
不变性矩
神经网络
形状识别
特征数目
2-D invariant moments
BP neural networks
shape recognition
feature number
fast recognition
