NDLI: Empirical Studies of the Existence of the Biometric Menagerie in the FRGC 2.0 Color Image Corpus

Content Provider	IEEE Xplore Digital Library
Author	Wittman, M. Davis, P. Flynn, P.J.
Copyright Year	2006
Description	Author affiliation: University of Notre Dame, USA (Wittman, M.)
Abstract	The issue of recognizability of subjects in biometric identification is of particular interest to the designers of these systems. We have applied the concept of Doddingtons biometric menagerie to the area of facial recognition. We performed a series of tests for the presence of goats, lambs, and wolves on FRGC 2.0 color image data. The data for the subjects that appeared at the extreme end of these tests was then visually examined. Even a cursory comparison of images showed that for this set of data, some images fell into the defined menagerie categories. Our tests show the statistical existence of these animal classifications within the constraints of this set of FRGC 2.0 data using the baseline matching algorithm. Ultimately, these tests were limited by the image data set and matching algorithm used. For further confirmation of the existence of the menagerie, the analysis must be expanded to include different image sets and matching algorithms..
Starting Page	33
Ending Page	33
File Size	3254015
Page Count	1
File Format	PDF
ISBN	0769526462
DOI	10.1109/CVPRW.2006.71
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-17
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biometrics Computer science Image analysis Face recognition USA Councils Color Probes Statistics Testing Principal component analysis
Content Type	Text
Resource Type	Article

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