Support vector machines combined with wavelet-based feature extraction for identification of drugs hidden in anthropomorphic phantom

Measurement: Journal of the International Measurement Confederation

Volumn 46, Issue 1, 2013, Pages 284-293

  Qu, Dingjun ^a,b   Li, Wei ^a,b   Zhang, Yu ^b,c   Sun, Bai ^a   Zhong, Yu ^a   Liu, Jinhuai ^a   Yu, Daoyang ^a   Li, Minqiang ^a  

^a INSTITUTE OF INTELLIGENT MACHINES   (China)

^b UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

^c WEST ANHUI UNIVERSITY   (China)

Author keywords

Anthropomorphic phantom; Drug identification; Energy dispersive X ray diffraction; Multiclass classification; Support vector machines; Wavelet based feature extraction

Indexed keywords

AUTOMATION; FEATURE EXTRACTION; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; X RAY DIFFRACTION;

ANTHROPOMORPHIC PHANTOMS; DRUG IDENTIFICATION; ENERGY DISPERSIVE X-RAY DIFFRACTIONS; MULTI-CLASS CLASSIFICATION; WAVELET-BASED FEATURE;

SUPPORT VECTOR MACHINES;

EID: 84870235699     PISSN: 02632241     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.measurement.2012.06.016     Document Type: Article

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