Algorithm research on banknote authenticity identification based on wavelet transform
Ying Zhang · Modern Electronics Technique · 2012
The discrimination of real and counterfeit currency is studied according to the differences of the projected textures of them.A new algorithm is put forward for recognizing the authenticity of banknotes.It performs wavelet transform on the true and false banknotes respectively to extract texture features of banknotes.Then the feature vector is formed by the obtained mean energy on wavelet transform domain to realize the recognition of authentic and counterfeit currency.The simulation results show that the method has high speed,high precision and good real-time property which is suitable for identification of the authenticity of banknotes.