Abstract

The joint transform correlator (JTC) has been the best known technique for pattern recognition and identification. The JTC optically compares the reference image with the sample image then examines match or non-match by acquiring a correlation peak. However, the JTC technique has some problems such as weak correlation discrimination and noise which originates from the interference fringes in the Fourier transform plane. In order to solve these problems, this paper proposes a new technique of modifications of the interference fringes by adopting special iterative filters. Experimental results are presented to show that the proposed technique can successfully improve the correlation peaks and the level of discrimination.

© 2010 Optical Society of Korea

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2009 (2)

2005 (1)

2001 (1)

G. Urcid-Serrano, A. Padilla-Vivanco, A. Cornejo-Rodriguez, and J. Baez-Rojas, “Analysis of the joint Fourier spectrum for dual input single channel rotation,” Proc. SPIE 4419, 620-623 (2001).
[CrossRef]

2000 (1)

A. M. Bazen and S. H. Gerez, “Directional field computation for fingerprints based on the principal component analysis of local gradients,” in Proc RISC2000, 11th Annual Workshop on Circuits, Systems and Signal Processing (Veldhoven, The Netherlands, 2000).

1998 (1)

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).
[CrossRef]

1997 (2)

M. S. Alam, X. W Chen, and M. A. Karim, “Distortioninvariant fringe-adjusted joint transform correlation,” Appl. Opt. 36, 7422-7427 (1997).
[CrossRef]

A. Jain, L. Hong, and R. Bolle, “On-line fingerprint verification,” IEEE Trans. Pattern Analysis and Machine Intell. 19, 302-314 (1997).
[CrossRef]

1996 (1)

J. W. Goodman, Introduction to Fourier Optics, 2nd ed. (McGraw-Hill, New York, USA, 1996).

1995 (1)

1991 (2)

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).
[CrossRef]

H. C. Lee and R. E. Gaensslen, Advances in Finger-print Technology (Elsevier, New York, USA, 1991).

1988 (1)

1984 (1)

1966 (1)

Appl. Opt. (6)

IEEE Trans. Pattern Analysis and Machine Intell. (1)

A. Jain, L. Hong, and R. Bolle, “On-line fingerprint verification,” IEEE Trans. Pattern Analysis and Machine Intell. 19, 302-314 (1997).
[CrossRef]

J. Opt. Soc. Korea (2)

Microwave & Opt. Technol. Lett. (1)

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).
[CrossRef]

Opt. Eng. (1)

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).
[CrossRef]

Proc RISC2000, 11th Annual Workshop on Circuits, Systems and Signal Processing (1)

A. M. Bazen and S. H. Gerez, “Directional field computation for fingerprints based on the principal component analysis of local gradients,” in Proc RISC2000, 11th Annual Workshop on Circuits, Systems and Signal Processing (Veldhoven, The Netherlands, 2000).

Proc. SPIE (1)

G. Urcid-Serrano, A. Padilla-Vivanco, A. Cornejo-Rodriguez, and J. Baez-Rojas, “Analysis of the joint Fourier spectrum for dual input single channel rotation,” Proc. SPIE 4419, 620-623 (2001).
[CrossRef]

Other (2)

H. C. Lee and R. E. Gaensslen, Advances in Finger-print Technology (Elsevier, New York, USA, 1991).

J. W. Goodman, Introduction to Fourier Optics, 2nd ed. (McGraw-Hill, New York, USA, 1996).

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