标题:
基于数字图像处理的银行卡号智能识别技术Bank Card Number Intelligent Identification Based on Digital Image Processing Technology
作者:
韩龙飞, 李婉, 曾曙光, 何慧灵
关键字:
银行卡号, 智能识别, 数字图像处理, 字符分割Bank Card Number, Intelligent Identification, Digital Image Processing, Character Segmentation
期刊名称:
《Journal of Image and Signal Processing》, Vol.5 No.3, 2016-07-27
摘要:
数字识别系统是现代化智能管理领域的重要组成部分，其作用特别体现在日常生活的智能化和数字化方面。本论文以我国各银行的银行卡为研究对象，提出了一种基于数字图像处理的银行卡号自动识别技术。该技术的主要目的是实现银行卡号信息的自动提取并将卡号以文本文件形式输出，以切合实际应用。其主要组成部分为：图像采集、图像预处理、数字号码定位、字符特征提取、字符标记、字符分割、字符识别等。通过实验测试，发现该技术可以实现85.6%以上的准确识别率。
The digital recognition system is an important part of the modern intelligent management field. Its role is particularly reflected in the intelligence and digital aspects of daily life. With the bank card of China’s Banks as the research object, this paper proposed a bank card number automatic identification technology based on digital image processing. The main purpose of this technology is to achieve the automatic extraction of bank card number information as a text file output for practical applications. Its main components are image acquisition, image preprocessing, digital number positioning, character feature extraction, character recognition, character segmentation and character recognition, etc. Through the experimental test, it is found that the technology can achieve more than 85.6% accuracy.