Paper
23 March 2005 Multispectral imaging for biometrics
Robert K. Rowe, Stephen P. Corcoran, Kristin A. Nixon, Robert E. Ostrom
Author Affiliations +
Abstract
Automated identification systems based on fingerprint images are subject to two significant types of error: an incorrect decision about the identity of a person due to a poor quality fingerprint image and incorrectly accepting a fingerprint image generated from an artificial sample or altered finger. This paper discusses the use of multispectral sensing as a means to collect additional information about a finger that significantly augments the information collected using a conventional fingerprint imager based on total internal reflectance. In the context of this paper, “multispectral sensing” is used broadly to denote a collection of images taken under different polarization conditions and illumination configurations, as well as using multiple wavelengths. Background information is provided on conventional fingerprint imaging. A multispectral imager for fingerprint imaging is then described and a means to combine the two imaging systems into a single unit is discussed. Results from an early-stage prototype of such a system are shown.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert K. Rowe, Stephen P. Corcoran, Kristin A. Nixon, and Robert E. Ostrom "Multispectral imaging for biometrics", Proc. SPIE 5694, Spectral Imaging: Instrumentation, Applications, and Analysis III, (23 March 2005); https://doi.org/10.1117/12.589487
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CITATIONS
Cited by 17 scholarly publications.
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KEYWORDS
Sensors

Multispectral imaging

Imaging systems

Biometrics

Skin

Light emitting diodes

Image quality

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