Identification for Orange Quality with FTIR-CWT-SVM

Abstract

Horizontal attenuation total reflection-Fourier transform infrared spectroscopy (HATR-FTIR) is usedto measure the FTIR of coat of good orange and rotten orange. Continuous wavelet transform (CWT) is used to decompose the FTIR of theirs. Three main scales are selected as the feature extracting space in the CWT domain. Three feature regions are determined at every spectra band at selected three scales in the CWT domain. Thus nine feature parameters form the feature vector. The feature vector is input to support vector machine (SVM) to train so as to accurately classify the good orange and rotten orange. 80 couples of FTIR are used to train and test the proposed method, where 60 couples of data are used as training samples and 20 couples of data are used as testing samples. Experimental results show that the accurate recognition rate between good orange and rotten orange is respectively 98.8% and 97.6% by using the proposed method.