• Liying LangEmail author
  • Xiaofang Zhang
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 295)


In the paper phase correlation algorithm based on Fourier transform is applied to the traceability barcode identification, which is a widely used method of image registration. And there is the rotation-invariant phase correlation algorithm which combines polar coordinate transform with phase correlation, that they can recognize the barcode with partly destroyed and rotated. The paper provides the analysis and simulation for the algorithm using Matlab, the results show that the algorithm has the advantages of good real-time and high performance. And it improves the matching precision and reduces the calculation by optimizing the rotation-invariant phase correlation.


traceability barcode recognition Fourier transform phase correlation image registration 


  1. G. Wolberg,S.Zokai. Roubust image registration using log-polar transform[A]. Proc. IEEE Int. Conf. Image Processing[C].Vancouver, BC,Canda:IEEE, 2000:493–496.Google Scholar
  2. Harold S S, Michael T Orchard, Ee-Chien Chang, et al. A fast direct Fourier based algorithm for subpixel registration of images [J]. IEEE Transactions on Geoscience and Remote Sensing, 2001, 39 (10): 2235-2243.CrossRefGoogle Scholar
  3. Harold S S, Robert Wolpov. Blind cross-spectral image registration using prefiltering and Fourier-based translation detection [J]. IEEE Transactions on Geosciences and Remote Sensing, 2002, 40(3): 637-650.CrossRefGoogle Scholar
  4. K. Kobayashi, H. Nakajima. T. Aoki. M. Kawamata. T. Higuchi. Principals of phase only correlation and applications. ITE Technical Report, 1996, 20(41):2-4Google Scholar
  5. Ni B, Paulsen M R, Reid J F. Corn kernel crown shape identification using image processing[J]. Trans of the ASAE, 1997, 40(3):833-838.Google Scholar
  6. Srinivasa R B, Chatterji B N. An FFT-based technique for translation, rotation, and scale-invariant image registration [J]. IEEE Transactions on Image Processing, 1996, 5 (8) : 1266-1271.CrossRefGoogle Scholar
  7. Tillett R D. Image analysis for agricultural processes: A review of potential opportunities[J]. J Agric Engng Res, 1991, 50: 247-258.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag US 2009

Authors and Affiliations

  1. 1.Hebei University of EngineeringHandanChina
  2. 2.College of Information and Electrical EngineeringHebei University of EngineeringHandanChina

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