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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 43, Iss. 2 — Jan. 10, 2004
  • pp: 391–402

Biometric verification with correlation filters

B. V. K. Vijaya Kumar, Marios Savvides, Chunyan Xie, Krithika Venkataramani, Jason Thornton, and Abhijit Mahalanobis  »View Author Affiliations


Applied Optics, Vol. 43, Issue 2, pp. 391-402 (2004)
http://dx.doi.org/10.1364/AO.43.000391


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Abstract

Using biometrics for subject verification can significantly improve security over that of approaches based on passwords and personal identification numbers, both of which people tend to lose or forget. In biometric verification the system tries to match an input biometric (such as a fingerprint, face image, or iris image) to a stored biometric template. Thus correlation filter techniques are attractive candidates for the matching precision needed in biometric verification. In particular, advanced correlation filters, such as synthetic discriminant function filters, can offer very good matching performance in the presence of variability in these biometric images (e.g., facial expressions, illumination changes, etc.). We investigate the performance of advanced correlation filters for face, fingerprint, and iris biometric verification.

© 2004 Optical Society of America

OCIS Codes
(100.6740) Image processing : Synthetic discrimination functions

History
Original Manuscript: May 16, 2003
Revised Manuscript: September 16, 2003
Published: January 10, 2004

Citation
B. V. K. Vijaya Kumar, Marios Savvides, Chunyan Xie, Krithika Venkataramani, Jason Thornton, and Abhijit Mahalanobis, "Biometric verification with correlation filters," Appl. Opt. 43, 391-402 (2004)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-43-2-391

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