残损纸币的自动识别

The automatic recognition of disused paper money

本文利用图像处理技术对残损纸币的自动识别进行了探讨。主要采用PCA方法对可用币、旧币进行分析,得出两者的内在规律性差异,并采用组合判别的方法对旧币进行识别,这样既减少了识别过程的机器处理时间,而且算法适合于各种面额的纸币识别,处理速度快,识别率较好。

This paper analyses the RMB images by the image processing technology, extracts these images＇ feature vectors through Principal Component Analysis （PCA） method, and finds the inward differences between useable and disused paper money image. The combined judge rule of classification is adopted to recognize the disused one according to the inwardness found by research above. Advantage of this algorithm is less processing time, higher recognition ability, and better applicability for any paper money.