• DocumentCode
    2450758
  • Title

    Research of pattern recognition based on the local structure topological relationship modeling

  • Author

    Qin, Yinxue ; Ma, Lin ; Li, Haifeng ; Wei, Qiuhua

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., Harbin, China
  • fYear
    2012
  • fDate
    16-18 July 2012
  • Firstpage
    694
  • Lastpage
    697
  • Abstract
    The article is mainly to study a pattern recognition method which is based on the local structure feature and spatial topological relationship modeling. From the perspective of human cognition and bio-mimetic pattern recognition principle, analyzing things\´ local structural feature and the overall topological relationship we can achieve things "cognitive" by using ANN(Artificial Neural Network) and HMM(Hidden Markov Model), so in this paper we propose a common pattern recognition method. This method with a strong anti-interference and resistance to deformation reflects the characteristics of things which is similar to human cognition. The experimental results show that this method can apply to the general pattern recognition.
  • Keywords
    biomimetics; cognition; hidden Markov models; neural nets; pattern recognition; ANN; HMM; artificial neural network; biomimetic pattern recognition principle; deformation resistance; hidden Markov model; human cognition; local structure topological relationship modeling; spatial topological relationship modeling; Artificial neural networks; Feature extraction; Hidden Markov models; Pattern recognition; Predictive models; Training; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Audio, Language and Image Processing (ICALIP), 2012 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-0173-2
  • Type

    conf

  • DOI
    10.1109/ICALIP.2012.6376704
  • Filename
    6376704