DOI QR코드

DOI QR Code

Image Recognition of JTC by Using Fresnel Computer Generated Hologram

프레넬 컴퓨터 홀로그램을 이용한 결합광상관기의 영상 인식

  • Jeong, Man-Ho (Dept. of Laser & Optical Information Engineering, Cheongju Univ.)
  • 정만호 (청주대학교 레이저광정보공학과)
  • Received : 2017.07.27
  • Accepted : 2017.08.12
  • Published : 2017.08.31

Abstract

We present a new technique of face recognition capability of the JTC by using the computer generated holograms(CGH) of the 3-D face images instead of using those original images. This method of using the CGH of the 3-D face images for the pattern recognition have advantages such as security and counterfeit problems compared with the conventional method of using those original images. This technique calculates Fresnel diffraction pattern of the 3-D face images by using computer program to obtain Fresnel CGH of those images, then recognize the face images using the JTC. This paper presents some data of correlation peaks and SNR, representing 2.6 and 2.4 respectively, shows the discrimination capability of this new method.

3차원 얼굴 영상 대신에 이들 영상의 컴퓨터 형성 홀로그램(CGH)를 사용하여 패턴 인식을 하는 새로운 JTC 방법을 제시한다. CGH를 사용하는 새로운 방식은 3차원 얼굴 영상을 사용하는 기존 방식과 비교할 때 보안 및 위조 측면에서 큰 장점이 있다. 본 논문에서는 3차원 얼굴 영상의 프레넬 회절 패턴을 컴퓨터 프로그램으로 계산 한 후에 프레넬 CGH를 구한 후에 JTC 시스템을 사용하여 얼굴 인식을 하는 새로운 방법을 제시한다. 측정된 상관 피크 값과 신호 대 잡음비는 일치의 경우 대비 비일치의 경우 비율이 각각 2.6과 2.4로 양호한 값을 나타내었다. 이러한 데이터를 통하여 제시한 새로운 방식의 높은 판별 능력을 제시한다.

Keywords

Acknowledgement

Supported by : 청주대학교

References

  1. Henry C. Lee and R. E. Gaensslen, "Advances in finger-print technology", Elsevier, New York, 1991.
  2. A. Jain, L. Hong, and R. Bolle, "On-line fingerprint verification", IEEE Trans. Pattern Analysis and Machine Intell., Vol. 19, No. 4, pp. 302-314, Apr. 1997. https://doi.org/10.1109/34.587996
  3. C. J. Weaver and J. W. Goodman, "A technique for optically convolving two functions", Appl. Opt. Vol. 5, pp. 1248-1249, Jul. 1966. https://doi.org/10.1364/AO.5.001248
  4. M. S. Alam, A. A. S. Awwal, and M. A. Karim, "Improved correlation discrimination using joint Fourier transform optical correlator", Microwave & Opt. Technol. Lett., Vol. 4, No. 3, pp. 103-106, Feb. 1991. https://doi.org/10.1002/mop.4650040305
  5. 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., Vol. 34, No. 5, pp. 886-890, Feb. 1995. https://doi.org/10.1364/AO.34.000886
  6. Man Ho Jeong, "Binary Nonlinear Joint Transform Correlator with Sinusoidal Iterative Filter in Spectrum Domain", Journal of the Optical Society of Korea, Vol. 14, No. 4, pp. 357-362, Dec. 2010. https://doi.org/10.3807/JOSK.2010.14.4.357
  7. 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, Vol. 4419, No. 173, pp. 620-623, Sep. 2001.
  8. Wai-hon Lee, "Computer Generated HologramsL Technique & application", Progress in Optics XVI, E. Wolf, ed, North-Holand, Vol. 16, pp. 119-232, Dec. 1978.
  9. Seymour Trester, "Computer Siulated Holography and Computer Generated Holograms", Am. J. Phys. Vol. 64, No. 4, pp. 472-478, Apr. 1996. https://doi.org/10.1119/1.18194
  10. J. W. Goodman, "Introduction to Fourier Optics", McGraw-Hill International Editions, pp. 46-54, 2005.
  11. Jae-Hwan Kim and Man-Ho Jeong, "Aspheric Optical Aberration Measurement Using Computer Generated Hologram", Journal of KIIT. Vol.14, No. 4, pp. 175-180, Apr. 2016.
  12. M. W. Halle, "The Generalized Holographic Stereogram", Master of Science in Visual Studies at the Massachusetts Institute of Technology, pp. 25-32, 1998.
  13. Jae-Hwan Kim and Man-Ho Jeong, "The Implementation of Stereoscopic 3-D image by using the off-axis asymmetric double frustum", Journal of KITT, Vol. 13, No. 4, pp; 103-110, Apr. 2015.
  14. K. Haines and D. Haines, "Computer graphics for holography", IEEE Computer Graphics and Applications, Vol. 12, No. 1, pp. 37-46, Feb. 1992. https://doi.org/10.1109/38.135882