Open AccessAn Automatic Recognition Method for Bank Card Number
Author(s) -
Yuanxue Xin,
Yuhan Lin,
Pengfei Shi,
Song Han,
Bin Tian
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1345/2/022049
Subject(s) - computer science , payment , mobile payment , atm card , identification (biology) , smart card , credit card , optical character recognition , the internet , subscriber identity module , set (abstract data type) , artificial intelligence , computer security , world wide web , telecommunications , botany , image (mathematics) , biology , programming language , handset
With the development of mobile internet, mobile payment has become one of the most popular payment methods. In order to improve work efficiency, reduce labor costs and enhance user experience, the intelligent identification of bank cards is widely used in mobile payment. Conventional optical character recognition (OCR) technology has the problems of low recognition rate when dealing with bank card text with complex background. Thus, a bank card number identification method based on deep learning is proposed. Firstly, the data set is expanded. Then the CRNN algorithms is used and optimized to identify the card number. Some experimental results show that the method have a high recognition rate.