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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 38, Iss. 2 — Jan. 10, 1999
  • pp: 357–369

All-digital ring-wedge detector applied to fingerprint recognition

David M. Berfanger and Nicholas George  »View Author Affiliations


Applied Optics, Vol. 38, Issue 2, pp. 357-369 (1999)
http://dx.doi.org/10.1364/AO.38.000357


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Abstract

An all-digital ring-wedge detector system is presented that simulates the analog multielement array commonly used in coherent optoelectronic processors. The system is applicable with either hard-copy or digital imagery. Using neural-network software, we demonstrate high accuracy for the recognition of fingerprints, including both orientation and wide-scale size-independent sortings by using ring-only and wedge-only input neurons, respectively. Also, the system is applied on windowed subregions of fingerprint imagery, providing a feature set that summarizes localized information about spatial-frequency content and edge-angle correlations. Examples are presented in which this localized spatial-frequency information is used to produce local ridge-orientation maps and to detect regions of poor print quality. In summary, both direct-image data and spatial-transform data are found to be important.

© 1999 Optical Society of America

OCIS Codes
(100.2000) Image processing : Digital image processing
(100.5010) Image processing : Pattern recognition
(100.5760) Image processing : Rotation-invariant pattern recognition
(200.4260) Optics in computing : Neural networks
(350.6980) Other areas of optics : Transforms

History
Original Manuscript: May 8, 1998
Revised Manuscript: August 28, 1998
Published: January 10, 1999

Citation
David M. Berfanger and Nicholas George, "All-digital ring-wedge detector applied to fingerprint recognition," Appl. Opt. 38, 357-369 (1999)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-38-2-357


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