摘要
纸币识别包括图像预处理、特征提取及分类器设计等。为减少计算量,使用了主成分分析法对图像进行降维;然后对图像识别时应用相关系数法。通过实验表明,使用主成分分析方法可以有效地减少数据,加快纸币的识别速度,保证纸币识别的正确率。
The paper currency recognition consists of preprocessing,feature extraction and design of classifier.In order to reduce the amount of computation,principal component analysis method is used.The correlation coefficient method is applied to paper currency recognition. The experimental results show that PCA method has a faster recognition speed to ensure the recognition rate.
出处
《辽宁科技大学学报》
CAS
2014年第4期393-396,共4页
Journal of University of Science and Technology Liaoning
关键词
图像识别
纸币识别
相关系数
主成分分析
image recognition
paper currency recognition
correlation coefficient
PCA
