Currency Recognition Based On improved Support Vector Machine

First of all, Pre-extracting Support Vector was used to reduce not only the number of the training samples, but also the training time. Then, the Fuzzy Compensation Multi -Class Support Vector Machine was introduced to recognize the currency. In the improved method, a fuzzy compensation function was proposed to reduce the effect of noisy dates. The results show that the performance of the proposed method can not only eliminate the over-fit of artificial neural network, but also get the better recognition than other methods .When the number of the training set is 100, the recognition rate is 99.23%.