Micheals, R.
, Grother, P.
and Phillips, P.
(2003),
The NIST Human ID Evaluation Framework, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=50765
(Accessed April 18, 2024)
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The NIST Human ID Evaluation Framework
Published
Author(s)
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Abstract
In this paper, we investigate the utility of static anthropometric distances as a biometric for human identification. The 3D landmark data from the CAESAR database is used to form a simple biometric consisting of distances between fixed rigidly connected body locations. This biometric is overt, and invariant to view and body posture. We use this to quantify the asymmetry of human bodies, and to characterize the interpersonal and intrapersonal distance distributions. The former is computed directly and the latter by adding zero-mean gaussian noise to the landmark points. This simulation framework is applicable to arbitrary shape based biometric. We use gross body proportions information to model a computer vision recognition system.Citation
NIST Interagency/Internal Report (NISTIR) - 6983
Report Number
6983
Volume
No. 2688
NIST Pub Series
Pub Type
NIST Pubs
Download Paper
Keywords
biometrics, evaluation, HEF, protocol, XML
Citation
Created April 1, 2003, Updated February 19, 2017