连续小波变换奇异性的真假纸币识别研究  

Research on Real or Fake Banknotes Recognition Based on the Singularity Detection Using Continuous Wavelet Transform

作　　者：徐莹[1] 陈普春[2] 曹俊[1] 张莹[1] 

机构地区：[1]西南石油大学电气信息学院,四川成都610500 [2]西南石油大学理学院,四川成都610500

出　　处：《自动化仪表》2012年第7期12-14,共3页Process Automation Instrumentation

摘　　要：针对纸币造假技术不断提高的现状,提出了一种新的真伪纸币识别方法。通过采用连续小波变换的Lipschitz指数来表示纹理的粗糙程度,进而对真假纸币纹理特征进行定量描述,以此作为判断纸币真假的标准。仿真结果表明,该算法能够有效地识别真假纸币,且精度较高,在一定程度上提高了鉴别真假纸币的能力。Aiming at the increasing phenomenon of the counterfeiting technologies for banknotes, the new recognition method to distinguish real or fake banknotes is proposed. The Lipschitz index of continuous wavelet transform is adopted to indicate the roughness of the texture, and then the texture features of real or fake banknotes are described quantitatively to setup the judgment standard for real or fake banknotes. The results of simulation show that this algorithm effectively recognizes real or fake banknotes with higher accuracy, and enhances the capability in recognition of the banknotes.

关 键 词：滤波器 连续小波变换 Lipschitz指数 纹理识别 变换尺度 

分 类 号：N317.4[自然科学总论]