Astragalus membranaceus spectrogram feature extraction and production place identification method based on kernel principal component analysis

Abstract

The invention discloses a spectrogram feature extraction algorithm based on kernel principal component analysis, and on the basis, a sparse representation classifier is applied to analyze an astragalus membranaceus spectrogram, so that a method for quickly identifying the production place of astragalus membranaceus is realized. The chemical analysis method adopted by the invention mainly comprisesan ion mobility spectrometry technology and an ultraviolet fluorescence spectrum analysis technology, has the advantages of rapid spectrum collection, good discrimination and the like, and is an important method for rapidly identifying the quality of the Chinese herbal medicine. According to the technical scheme, the method mainly comprises the steps of collection of astragalus membranaceus spectrogram information, extraction of Chinese herbal medicine spectrogram characteristics based on kernel principal component analysis and identification of the astragalus membranaceus production place based on a sparse representation classifier. Experiments show that the method is high in operation speed and high in recognition rate, provides a technical solution idea and scheme for rapid quality identification of Chinese herbal medicines, and has wide application significance.

Description

[0001] 1 technical field [0002] The present invention relates to a method based on nuclear principal component analysis and sparse representation classifier-based feature extraction and origin identification of Astragalus spectrum. Specifically, it combines pattern recognition technology with Chinese herbal medicine spectrum analysis technology Combining, using spectral analysis technology as a means, kernel principal component analysis technology as a spectral feature extraction method, and a sparse representation classifier as a recognition scheme is a new technology for quality identification of Chinese herbal medicine. [0003] 2 background technology [0004] The "National Medium and Long-term Science and Technology Development Plan (2006-2020)" clearly puts the inheritance and innovative development of traditional Chinese medicine as a priority theme, "focus on the research of traditional Chinese medicine diagnosis and treatment, evaluation technology and standards, and ...

AI Technical Summary

Problems solved by technology

However, most of them focus on the chemical analysis of specific components in Chinese herbal medicine products, lacking the overall and holistic judgment of important products, and it is difficult to avoid fraudulent traders targeting specific components.

Images