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.
出处
《自动化仪表》
CAS
北大核心
2012年第7期12-14,共3页
Process Automation Instrumentation
