Application of Principal Component Analysis for Identification of Drugs Packed in Anthropomorphic Phantom
نویسندگان
چکیده
A method of feature extraction based on principal component analysis (PCA) to identify drugs packed in anthropomorphic phantom was proposed. An energy dispersive X-ray diffraction spectrometer was used to acquire the spectra of drugs and the other materials. Features of spectra were extracted by PCA which excels in analyzing highdimensional data. Furthermore, the number of principal components selected as features was discussed. Combined with artificial neural network, a success rate of recognition between 93.3% and 100% was achieved. It indicates that this method is promising in detecting drug body packing.
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