The NIST Human ID Evaluation Framework

Published

April 1, 2003

Author(s)

Ross J. Micheals, Patrick J. Grother, P J. Phillips

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

NIST Interagency/Internal Report (NISTIR)

Pub Type

NIST Pubs

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Keywords

biometrics, evaluation, HEF, protocol, XML

Citation

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 October 10, 2025)