Image Recognition And Defect Detection In Paper Currency Sorter

There are large numbers of paper currency circulates in the worldwide every day, it is a tough work for staves to sort the paper currency in the financial condition. How to sort the paper currency quickly and correctly becomes very important in the banks. The technology is to process and recognize national paper currency.The key technology of the sorter is real-time image processing. Classifier processes the note image, and then sends the result of the paper currency to controlling system. The machine takes corresponding action to finish the classifying according to the answer. In order to speed up our machine to sort the currency quickly, we select shortest-distance classifier whose feature is computation easy and speed high.We make several improvements according to the differences of different foreign paper currency.(1) Feature extraction is improved. Compared with original method, we give a fast and anti-interference feature extraction. The advantage of this method is that it has a faster speed and better classifying result.(2) There are many kinds of foreign paper currency. In order to classify different kinds of foreign paper currency, we give a multistage classifier. This new method will select and combo different classifiers based on different foreign paper currency and classifies paper currency correctly.(3) Defect detection improvement .An edge-based algorithm is proposed to detect the scratches and cracks appearing frequently on paper currency.The system of the control and classy is programmed with c language. The benefit is quick developing and easy upgrading. We apply the method in this article to the JVC-200 machine and receive a good result.