Design of Bank Card Recognition System Based on Deep Learning Framework
To reduce errors in manually inputting bank card number and raise working efficiency,this paper designs a bank card number automatic recognition system based on Deep Learning technology and image processing methods.The system firstly preprocesses the bank card image by using image processing methods,locates the position of the card number line,and uses the mainstream Deep Learning framework of TensorFlow to construct a deep Convolutional Neural Networks model for extracting and recognizing bank card characters.Finally,it uses PyQt5 to build a GUI interface to achieve visual output of the bank card number.This paper improves the robustness and generalization ability of the recognition model by incorporating Dropout technology.The experiment shows that the designed system can effectively recognize bank card number.
Deep Learningbank card recognition systemcharacter recognitionPyQt5
国家科技期刊平台
NSTL
万方数据
