• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2013, Vol. 35 ›› Issue (8): 103-108.

• 论文 • 上一篇    下一篇

人民币纸币号码识别算法研究

王焱1,刘洋1,宋百春2   

  1. (1.辽宁工程技术大学电气与控制工程学院,辽宁 葫芦岛 125105;2.辽宁省阜新市自来水总公司,辽宁 阜新 123000)
  • 出版日期:2013-08-25 发布日期:2013-08-28

Research on RMB paper currency
number recognition algorithm         

WANG Yan1,LIU Yang1,SONG Baichun2   

  1. (1.Faculty of Electrical and Control Engineering, Liaoning Technical University,Huludao 125105;
    2.Fuxin Water Company,Fuxin 123000,China)
  • Online:2013-08-25 Published:2013-08-28

摘要:

为了提高人民币纸币号码识别算法的适应度,基于字符结构特征的思想,提出了一种利用多个相互补偿结构特征的人民币号码识别算法,并研究了包括人民币号码的图像定位、图像的二值化、单个字符分割、字符大小归一化等图像预处理过程。对人民币纸币号码的字母排列、数字排列以及它们的组合排列分别进行了算法设计,以字母、数字组合排列识别程序的部分流程图为例做了算法阐述。利用ARM嵌入式系统对三组识别程序进行了实验验证,并对实验过程中遇到的字符字体差异、字符干扰问题提出了应对方法。通过对三组识别程序识别正确率的统计可以看出,该算法有较高的识别精度,能较好地满足实际需求。

关键词: 人民币号码, 特征识别, 组合排列

Abstract:

In order to improve the fitness of RMB paper currency number recognition algorithm, based on structural feature of characters, a novel RMB paper currency number recognition algorithm is proposed, which is based on multiple mutual compensation structure characteristics. And the image preprocess of RMB paper currency number is studied including image positioning, image binarization,  single character segmentation, character size normalization, etc. Algorithms of English letter arrangement, Arabia digital arrangement and their mixed arrangement of RMB paper currency number are designed. These algorithms are introduced by taking partial flow chain of mixed arrangement recognition program as an example. An ARM embedded system is used to validate three recogntion programs. Some suggestions are proposed to solve the issues such as font diference of characters, and character interference in the experiment. The statistical results of accuracy of three recognition programs show that the algorithm has high precision and meets the practical needs.

Key words: RMB number;characteristics recognition;combination arrangement