• DocumentCode
    3433375
  • Title

    Application of Phase Correlation Algorithm in Material Identification

  • Author

    Liying Lang ; Xiaofang Zhang

  • Author_Institution
    Hebei Univ. of Eng. Handan, Handan
  • fYear
    2008
  • fDate
    12-14 Oct. 2008
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    As the market competition becomes more and more fierce, the advanced logistics technology has been introduced in all kinds of occupations. Under the background, the barcode technology was created. As phase correlation algorithm based on FFT has less computing matching, high precision, high noise tolerance and anti-geometric deformation capacity, it is a widely used method of image registration. In this paper phase correlation algorithm is applied to the barcode identification, so as to increase speed of items recognition and robustness of the algorithm. And in order to identify the barcode which is partly destroyed or inversed in the process of moving goods, there is the rotation-invariant phase correlation algorithm combining polar coordinate transform with phase correlation, which can recognize the correlated image and detect translation and rotation angle between two correlated images.
  • Keywords
    bar codes; correlation methods; identification technology; image recognition; transforms; barcode identification; barcode technology; correlated image recognition; image registration; items recognition; logistics technology; material identification; polar coordinate transform; rotation angle detection; rotation invariant phase correlation algorithm; Educational institutions; Estimation theory; Fourier transforms; Image recognition; Image registration; Logistics; Noise robustness; Parameter estimation; Phase detection; Phase noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-2107-7
  • Electronic_ISBN
    978-1-4244-2108-4
  • Type

    conf

  • DOI
    10.1109/WiCom.2008.471
  • Filename
    4678380