New feature extraction approach for bank note classification using Quaternion Wavelets
Shan Gai, Guowei Yang, Sheng Zhang · Journal of Intelligent & Fuzzy Systems · 2013
In order to improve the performance of the banknote image classification, new feature extraction method based on quaternion wavelet transform (QWT) is proposed in this article. The QWT yields one shift-invariant magnitude and three phases by the quaternion algebra. The statistical characteristics such as mean, standard deviation and entropy are used as feature vector in the banknote image classification. The experimental results show that the proposed method by the QWT obtains better classification results than the conventional methods.