An Automatic Location and Recognition Method for Bank Card Number

Yuanxue Xin, P. Shi, Song Han
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引用次数: 2

Abstract

The Optical Character Recognition (OCR) technology is widely used in intelligent identification of bank cards, since it can improve the work efficiency and user experience in mobile payment. Conventional methods have the problems of low recognition rate and location accuracy. Therefore, an automatic location and recognition method for bank card number is proposed. Firstly, novel Connected Text Proposal Network (CTPN) algorithm is improved to locate the bank card number. Then, the Convolutional Recurrent Neural Networks (CRNN) algorithm is optimized to identify the card number. Some experimental results show that the method has a high positioning accuracy and recognition rate.
一种银行卡卡号自动定位与识别方法
光学字符识别(OCR)技术被广泛应用于银行卡智能识别,因为它可以提高移动支付的工作效率和用户体验。传统方法存在识别率低、定位精度低等问题。为此,提出了一种自动定位识别银行卡卡号的方法。首先,改进了新的连接文本提议网络(CTPN)算法来定位银行卡号码;然后,优化卷积递归神经网络(CRNN)算法来识别卡号。实验结果表明,该方法具有较高的定位精度和识别率。
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