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The NIST Human ID Evaluation Framework



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


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.
NIST Interagency/Internal Report (NISTIR) - 6983
Report Number
No. 2688


biometrics, evaluation, HEF, protocol, XML


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], (Accessed June 17, 2024)


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Created April 1, 2003, Updated February 19, 2017