Paper currency serial number recognition system research of the Republic of China based on convolutional neural network

An automatic recognition system of paper currency serial numbers of the Republic of China was realized by deep learning in this paper. Firstly, the characters of paper currency serial numbers of the Republic of China were extracted and segmented. Secondly, pre-processing for each character was conducted and the blank character zone was clipped in order to normalize the character size.Lastly, the characters were recognized by the convolutional neural network.The experimental results showed that the paper currency serial number recognition system proposed in the paper could reduce the workload of manual entry while there were stains and wrinkles existing on the paper currency.The recognition accuracy of a single character could reach more than 99.99%.