DocumentCode :
2587482
Title :
Feature extraction in fingerprint of medicinal herbs via EMD and fractal technique
Author :
Jianwei Du ; Zhichun Mu ; Zhengguang Xu ; Yuanyan Tang ; Limin Cui
Author_Institution :
Dept. of Math. & Phys., Inst. of Petrochem. Technol., Beijing, China
Volume :
3
fYear :
2011
fDate :
15-17 Oct. 2011
Firstpage :
1715
Lastpage :
1719
Abstract :
The wavelet fractal features of fingerprint of medicinal herbs based on wavelet transform has anti-jamming property against the change of sample concentration. However, the recognition rate based on wavelet fractal features is not satisfied when fingerprint of medicinal herbs has some slight changes of concentrations, the number of peak and peak drift of sample are processed in specially situation. In this paper, we put forward the conception of fractal feature of chromatographic profile of medicinal herbs using empirical mode decomposition (EMD) to obtain intrinsic mode functions (IMF) from high to low frequency, and establish a novel method to extract fractal feature of chromatographic profile of medicinal herbs. We obtain some sub modes through the chromatographic profile of medicinal herbs by EMD, and then by using fractal theory, we achieve the fractal dimensions of each mode. We apply it to the recognition of the fingerprints of glycyrrhiza. Experiments show that EMD fractal features have better recognition rate than that of the traditional ones in case of the concentration-change, i.e. the number of peak and peak drift of sample have slight changes.
Keywords :
biochemistry; botany; chromatography; feature extraction; fractals; wavelet transforms; EMD; antijamming property; chromatographic profile; empirical mode decomposition; feature extraction; intrinsic mode function; medicinal herb fingerprint; sample concentration; wavelet fractal feature; Educational institutions; Feature extraction; Fingerprint recognition; Fractals; Particle measurements; Wavelet transforms; EMD fractal features; empirical mode decomposition (EMD); fingerprint of medicinal herbs; intrinsic mode function (IMF);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2011 4th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9351-7
Type :
conf
DOI :
10.1109/BMEI.2011.6098520
Filename :
6098520
Link To Document :
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