УДК: 621.391.156, 535.8

Effect of spectral recording nonlinearity in a joint transform correlator for recognition of identical patterns

Publication in Journal of Optical Technology

For Russian citation (Opticheskii Zhurnal):

Кузьмин М.С., Рогов С.А. Влияние нелинейности регистрации спектра в корреляторе совместного преобразования при распознавании одинаковых образов // Оптический журнал. 2017. Т. 84. № 8. С. 64–69.

Kuzmin M.S., Rogov S.A. Effect of spectral recording nonlinearity in a joint transform correlator for recognition of identical patterns [in Russian] // Opticheskii Zhurnal. 2017. V. 84. № 8. P. 64–69.

For citation (Journal of Optical Technology):

M. S. Kuz’min and S. A. Rogov, "Effect of spectral recording nonlinearity in a joint transform correlator for recognition of identical patterns," Journal of Optical Technology. 84(8), 557-561 (2017). https://doi.org/10.1364/JOT.84.000557

Abstract:

We describe the results from a theoretical and experimental study of the effect of spectral recording nonlinearity in a joint transform correlator that occurs during recognition of multiple identical patterns within an input image. The experiments use an operating prototype of the correlator with a liquid-crystal input device.

Keywords:

patterns recognition, joint transform correlator, nonlinear recording, liquid-crystal input device

OCIS codes: 070.0070, 070.6120, 070.4790, 100.4550, 070.4550

References:

1. R. S. Fyath, K. N. Darraj, M. S. Alam, M. N. Islam, and M. M. Alkhatib, “Optical pattern recognition using two-channel joint transform correlation,” Opt. Mem. Neural Networks 16, 125–135 (2007).
2. L. G. Valdivieso González, J. E. Guerrero Bermudez, and E. Tepichin Rodriguez, “Non-linear joint transform correlator for micro-displacement measurement using speckle patterns,” Rev. Fac. Ing. Univ. Antioquia. 68, 20–26 (2013).
3. A. Alfalou and C. Brosseau, “Understanding correlation techniques for face recognition: from basics to applications,” in Face Recognition, M. Oravec, ed. (InTech, Rijeka, Croatia, 2010), https://www.intechopen .com/books/face-recognition/understanding-correlation-techniques-for-face-recognition-from-basics-to-applications.
4. C. S. Weaver and J. W. Goodman, “A technique for optically convolving two functions,” Appl. Opt. 5(7), 1248–1249 (1966).
5. B. Javidi, “Nonlinear joint power spectrum based optical correlation,” Appl. Opt. 28(12), 2358–2367 (1989).
6. S. K. Rogers, J. D. Cline, M. Kabrisky, and J. P. Mills, “New binarization techniques for joint transform correlator,” Opt. Eng. 29(9), 1088–1093 (1990).
7. F. T. S. Yu, F. Cheng, T. Nagata, and D. A. Gregory, “Effects of fringe binarization of multiobject joint transform correlation,” Appl. Opt. 28, 2988–2990 (1989).
8. J. W. Goodman, Introduction to Fourier Optics (McGraw-Hill, San Francisco, 1968).
9. M. S. Kuz’min and S. A. Rogov, J. Opt. Technol. 82(3), 147–152 (2015) [Opt. Zh. 82(3), 23–29 (2015)].