Recognition Method Research of Violae Herba and Its Sibling Plants Based on FTIR-DSWT and SVM Classification Method

OBJECTIVE To explore quality control pattern of new traditional Chinese medicine Violae Herba based on attenuated total reflection-Fourier transform infrared(FTIR) spectroscopy-discrete stationary wavelet transform(DSWT) combined with support vector machine(SVM). METHODS FTIR of Violae Herba and its sibling plants Viola pseudo-monbeigii Chang and Viola betonicifolia J. E. Smith were obtained directly, quickly and accurately by Fourier transform infrared spectrometer with attenuated total reflection accessory. DSWT was used to extrude local region of FTIR of Violae Herba, Viola pseudo-monbeigii Chang and Viola betonicifolia J. E. Smith. After comparison analysis, the d4 and d5 scale were used to extract the feature vectors, which were used to train and test the SVM. RESULTS According to 90 testing samples of the different production from different places, the recognition rate of Violae Herba and its sibling plants were all 100%. CONCLUSION The experimental results show that it is effective to apply DSWT combined with SVM on the basis of FTIR to identify the Violae Herba and its sibling plants Viola pseudo-monbeigii.Chang and Viola betonicifolia J. E. Smith.