摘要
为了准确识别纸币号码,对纸币号码图像识别算法进行了研究。在去除噪声、放大、二值化、定位等基础上,利用字符结构特征的识别方法进行纸币号码识别,给出了上交点类字符树形分类方法,并通过MATLAB进行仿真实验。结果表明,所提出的算法具有良好的稳定性,识别率大于95%。
In order to accurately identify the numbers on the paper currency, the number recognition method for RMB notes is studied. On the basis of noise removal, amplification, binarization and character positioning, a method of character recognition is proposed based on the structure characters and proved by MATLAB simulation. The results show that this method has a good stability and a high recognition rate of greater than 95%.
出处
《辽宁科技大学学报》
CAS
2013年第4期385-388,共4页
Journal of University of Science and Technology Liaoning
关键词
号码识别
图像处理
字符定位
number recognition
image processing
character positioning
