Feature Selection Method for Classification of New and Used Bills

摘要

According to the progress of office automation, it becomes important to classify new and old bills automatically. In this paper, we adopt a new type of sub-band adaptive digital filters to extract the feature for classification of new and fatigued bills. First, we use wavelet transform to resolve the measurement signal into various frequency bands. For the data in each band, we construct an adaptive digital filter to cancel the noise included in the frequency band. Then we summarize the output of the filter output in each frequency band. The experimental results show the effectiveness of the proposed method to remove the noise.