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Applied Optics

Applied Optics


  • Vol. 37, Iss. 32 — Nov. 10, 1998
  • pp: 7545–7552

Operating-curve selection for optical and digital correlation of fingerprints

Danny Roberge and Colin Soutar  »View Author Affiliations

Applied Optics, Vol. 37, Issue 32, pp. 7545-7552 (1998)

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We present a new method for selecting the optimal spatial light modulator operating curve on which to encode an ideal complex-valued filter function. The method is an extension of the optimization procedure that was used to derive the ideal complex-valued filter. To illustrate the method we consider the selection of a typical operating curve of a commercially available LCD and use this operating curve to encode a filter that was optimized for the task of fingerprint verification. We then extend the method to include the selection of the optimal operating curve from a series of synthetic operating curves.

© 1998 Optical Society of America

OCIS Codes
(100.2000) Image processing : Digital image processing
(100.4550) Image processing : Correlators
(100.5010) Image processing : Pattern recognition
(120.2440) Instrumentation, measurement, and metrology : Filters
(230.6120) Optical devices : Spatial light modulators

Original Manuscript: March 24, 1998
Revised Manuscript: June 29, 1998
Published: November 10, 1998

Danny Roberge and Colin Soutar, "Operating-curve selection for optical and digital correlation of fingerprints," Appl. Opt. 37, 7545-7552 (1998)

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  1. D. Roberge, C. Soutar, B. V. K. Vijaya Kumar, “Optimal correlation filter for fingerprint verification,” in Optical Pattern Recognition IX, D. P. Casasent, T.-H. Chao, eds., Proc. SPIE3386, paper 15 (1998).
  2. Ph. Réfrégier, “Optimal trade-off filters for noise robustness, sharpness of the correlation peak, and Horner efficiency,” Opt. Lett. 16, 829–831 (1991). [CrossRef] [PubMed]
  3. C. Soutar, S. E. Monroe, J. Knopp, “Measurement of the complex transmittance of the Epson liquid crystal television,” Opt. Eng. 33, 1061–1068 (1994). [CrossRef]
  4. R. D. Juday, “Optimal realizable filters and the minimum Euclidean distance principle,” Appl. Opt. 32, 5100–5111 (1993). [CrossRef] [PubMed]
  5. A. Stoianov, C. Soutar, A. Graham, “High-speed fingerprint verification using an optical correlator,” in Optical Pattern Recognition IX, D. P. Casasent, T.-H. Chao, eds., Proc. SPIE3386, paper 29 (1998).
  6. C. Soutar, R. D. Juday, “Method and apparatus for improved spatial light modulation,” U.S. patent applied for.
  7. I. Konvalinka, T. Milkie, V. Lazic, A. Graham, C. Soutar, V. Isbrucker, N. Pemberton, “Touchstone—a DSP based biometric system,” paper presented at the International Conference on Signal Processing Applications and Technology (ICSPAT) ’98, Toronto, Canada, 13–16 September 1998.
  8. A. Skorucak, C. Soutar, “Selection criteria for spatial light modulator operating curves,” in Optical Pattern Recognition VII, D. P. Casasent, T.-H. Chao, eds., Proc. SPIE2752, 120–131 (1996). [CrossRef]
  9. A. Mahalanobis, B. V. K. Vijaya Kumar, D. Casasent, “Minimum average correlation energy filters,” Appl. Opt. 26, 3633–3640 (1987). [CrossRef] [PubMed]
  10. R. D. Juday, R. S. Barton, J. Kinser, J. L. Alvarez, “Efficient code for optimal realizable filter calculation,” in Optical Pattern Recognition IV, D. P. Casasent, ed., Proc. SPIE1959, 262–268 (1993). [CrossRef]

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