• DocumentCode
    2271204
  • Title

    Automatic identification technology research on Opto-electronic hybrid pattern recognition system

  • Author

    Xu Yi ; Liu Zhong ; Wen Jun

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2010
  • fDate
    28-30 July 2010
  • Firstpage
    119
  • Lastpage
    121
  • Abstract
    Opto-electronic hybrid optical pattern recognition technology has many advantages, but must to recognize the correlation-peak from lots of noise. This paper analyzes the deference of correlation-peak image and the noise, and researches on the contour distribution of the image of the correlation-peak and the noise. So, bring forward using the BP network of the ANN to distinguish the signal and noise automatically. The experiment results show the effectiveness of the method.
  • Keywords
    correlation methods; optoelectronic devices; pattern recognition; ANN; BP network; automatic identification technology; bring forward; contour distribution; correlation peak image; optoelectronic hybrid pattern recognition system; Accuracy; Noise; Optical imaging; Optical noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Circuits and Systems (ICCCAS), 2010 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-8224-5
  • Type

    conf

  • DOI
    10.1109/ICCCAS.2010.5582038
  • Filename
    5582038