Object Recognition by SVM Based on Wavelet Feature Extraction

In this paper,a method of feature selecting and feature extracting based on wavelet was proposed.Using this method the range of wavelet coefficients can be reduced by getting the absolute value of the coefficient;clustering the coefficient by filtering them with adaptive threshold.This method is tested by SVM classifier.Experimental results show that this method is effective for object recognition.