Journal of the Optical Society of Korea

Optical Society of Korea (한국광학회)
권호 표지
DOI QR코드

DOI QR Code

Coded Single Input Channel for Color Pattern Recognition in Joint Transform Correlator

  • Jeong, Man-Ho (Department of Laser & Optical Information Engineering, Cheongju University)
  • Received : 2011.09.08
  • Accepted : 2011.10.26
  • Published : 2011.12.25
Download PDF
⟨ Previous Next ⟩

Abstract

Recently, we reported a single input channel joint transform correlator for the color pattern recognition which decomposes the input color image into three R, G, and B gray components and adds those components into a single gray image in the input plane. This technique has the merit of a single input channel instead of three input channels. However, we found this technique has some problems with discrimination impossibility in the case of a simple primary color pattern which results in the same gray level through the addition process. Thus, we propose a modified coding technique which selectively recombines the decomposed three R, G, and B gray components instead of the simple adding process. Simulated results show that the modified coding technique can accurately discriminate a variety of kinds of color images.

Keywords

References

  1. P. D. Gianino and J. L. Horner, "Phase-only matched filtering," Appl. Opt. 23, 812-816 (1984). https://doi.org/10.1364/AO.23.000812
  2. G. G. Mu, X. M. Wang, and Z. Q. Wang, "Amplitudecompensated matched filtering," Appl. Opt. 27, 3461-3463 (1988). https://doi.org/10.1364/AO.27.003461
  3. C. J. Weaver and J. W. Goodman, "A technique for optically convolving two functions," Appl. Opt. 5, 1248-1249 (1966). https://doi.org/10.1364/AO.5.001248
  4. J. W. Goodman, Introduction to Fourier Optics, 2nd ed. (McGraw-Hill, New York, USA, 1996).
  5. H. C. Lee and R. E. Gaensslen, Advances in Finger-print Technology (Elsevier, New York, USA, 1991).
  6. A. Jain, L. Hong, and R. Bolle, "On-line fingerprint verification," IEEE Trans. Pattern Analysis and Machine Intell. 19, 302-314 (1997). https://doi.org/10.1109/34.587996
  7. M. H. Jeong, "Analysis of fingerprint recognition characteristics based on new CGH direct comparison method and nonlinear joint transform correlator," J. Opt. Soc. Korea 13, 445-450 (2009). https://doi.org/10.3807/JOSK.2009.13.4.445
  8. M. S. Alam, A. A. S. Awwal, and M. A. Karim, "Improved correlation discrimination using joint Fourier transform optical correlator," Microwave & Opt. Technol. Lett. 4, 103-106 (1991). https://doi.org/10.1002/mop.4650040305
  9. B. Javidi, J. Li, A. H. Fazollahi, and J. Horner, "Binary nonlinear joint transform correlator performance with different thresholding methods under unknown illumination conditions," Appl. Opt. 34, 886-890 (1995). https://doi.org/10.1364/AO.34.000886
  10. M. H. Jeong, "New random and additional phase adjustment of joint transform correlator," J. Opt. Soc. Korea 14, 90-96 (2010). https://doi.org/10.3807/JOSK.2010.14.2.090
  11. G. Urcid-S, A. Padilla-V., A. Cornejo-R., and J. Baez-R., "Analysis of the joint Fourier spectrum for dual input single channel rotation," Proc. SPIE 4419, 620-623 (2001). https://doi.org/10.1117/12.437097
  12. X. W. Chen, M. A. Karim, and M. S. Alam, "Distortion invariant fractional power fringe adjusted joint transform correlation," Opt. Eng. 37, 138-143 (1998). https://doi.org/10.1117/1.601840
  13. A. Bal, A. M. El-Sada, and M. S. Alam, "Improved fingerfrint identification with supervised filtering enhancement," Appl. Opt. 44, 647-654 (2005). https://doi.org/10.1364/AO.44.000647
  14. M. H. Jeong, "New iterative filter for fringe adjustment of joint transform correlator," J. Opt. Soc. Korea 14, 33-37 (2010). https://doi.org/10.3807/JOSK.2010.14.1.033
  15. B. Javidi, "Nonlinear joint power spectrum based optical correlators," Appl. Opt. 28, 2358-2367 (1989). https://doi.org/10.1364/AO.28.002358
  16. M. H. Jeong, "Binary nonlinear joint transform correlator with sinusoidal iterative filter in spectrum domain," J. Opt. Soc. Korea 14, 357-362 (2010). https://doi.org/10.3807/JOSK.2010.14.4.357
  17. F. T. S. Yu, Z. Yang, and K. Pan, "Polychromatic target identification with a color liquid-crystal-TV-based joint-transform correlator," Appl. Opt. 33, 2170-2172 (1994). https://doi.org/10.1364/AO.33.002170
  18. D. Mendlovic, P. Garcia-Martinez, J. Garcia, and C. Ferreira, "Color encoding for polychromatic single-channel optical pattern recognition," Appl. Opt. 34, 7538-7544 (1995). https://doi.org/10.1364/AO.34.007538
  19. M. Corbalan and M. S. Millan, "Color image acquisition by charge-coupled device cameras in polychromatic pattern recognition," Opt. Eng. 35, 754-758 (1996). https://doi.org/10.1117/1.600643
  20. D. Mendlovic, M. Deutsch, C. Ferreira, and J. Garcia, "Single channel polychromatic pattern recognition by the use of a joint-transform correlator," Appl. Opt. 35, 6382-6389 (1996). https://doi.org/10.1364/AO.35.006382
  21. M. Deutsch, J. Garcia, and D. Mendlovic, "Multichannel singleoutput color pattern recognition by use of a joint transform correlator," Appl. Opt. 35, 6976-6982 (1996). https://doi.org/10.1364/AO.35.006976
  22. M. S. Alam, S. F. Goh, and S. Dacharaju, "Three-dimensional color pattern recognition using fringe-adjusted joint transform correlation with CIE lab coordinates," IEEE Trans. on Instru. and Measur. 59, 2176-2184 (2010). https://doi.org/10.1109/TIM.2009.2031384
  23. M. H. Jeong, "Color pattern recognition with recombined single input channel joint transform correlator," J. Opt. Soc. Korea 15, 140-145 (2011). https://doi.org/10.3807/JOSK.2011.15.2.140

Cited by

  1. Image Blurring Estimation and Calibration with a Joint Transform Correlator vol.18, pp.5, 2014, https://doi.org/10.3807/JOSK.2014.18.5.472