Journal of South China University of Technology (Natural Science Edition) ›› 2007, Vol. 35 ›› Issue (1): 49-52.

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

Baseline Spliting of Traditional Chinese Medicine FingerprintBased on the Second-Generation Wavelet Transform

Yang Yun  Zhu Xue-feng   

  1. School of Automation Science and Engineering , South China Univ. of Tech. , Guangzhou 510640 , Guangdong , China
  • Received:2005-11-22 Online:2007-01-25 Published:2007-01-25
  • Contact: 杨云(1973-) ，女，博士生，主要从事模式识别、专家系统方面的研究。 E-mail:yangwmy@yahoo.com.cn
  • About author:杨云(1973-) ，女，博士生，主要从事模式识别、专家系统方面的研究。
  • Supported by:

    广州市科技攻关项目(2004Z3-E5011 )

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Abstract:

In order to overcome the disadvantages of the conventional data pre-processing technology for the fingerprintsignals of traditional Chinese medicine , such as complexity and low speed of the algorithm , the features of fingerprintsignals are analyzed , on the basis of which a new method is then proposed. In this method , the secondgenerationwavelet transform technology , the local reconstruction technology and the Daubechies wavelet-liftingmethod are adopted to split the baseline of traditional Chinese medicine fingerprint. The experimental results ofTianjihuang fingerprint according with the AIA standard show that the proposed method can effectively split thebaseline from the signal peak with great precision and is easy to be implemented by software.

Key words: wavelet transform, wavelet lifting, traditional Chinese medicine fingerprint, baseline correction