现代信息科技2024，Vol.8Issue(9)：83-86,4.DOI:10.19850/j.cnki.2096-4706.2024.09.017
基于深度学习框架的银行卡识别系统的设计
Design of Bank Card Recognition System Based on Deep Learning Framework
摘要
Abstract
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.关键词
深度学习/银行卡识别系统/字符识别/PyQt5Key words
Deep Learning/bank card recognition system/character recognition/PyQt5分类
信息技术与安全科学引用本文复制引用
闫琳英..基于深度学习框架的银行卡识别系统的设计[J].现代信息科技,2024,8(9):83-86,4.基金项目
2022年度陕西省"十四五"教育科学规划课题(SGH22Y1823) （SGH22Y1823）
