Sensitivity Analysis for Biometric Systems: A Methodology Based on Orthogonal Experiment Designs.

摘要

The purpose of this paper is to introduce an effective and structured methodology for carrying out a biometric system sensitivity analysis. The goal of sensitivity analysis is to provide the researcher/developer with the insight and understanding of the key factors--algorithmic, subject-based, camera-based, procedural, image quality, environmental, among othersthat affect the matching performance of the biometric system under study. This proposed methodology consists of two steps: (1) the design and execution of orthogonal fractional factorial experiment designs which allows the scientist to efficiently investigate the effect of a large number of factors--and interactions--simultaneously, and (2) the use of a select set of statistical data analysis graphical procedures which are fine-tuned to unambiguously highlight important factors, highlight important interactions, and to also show locally-optimal factor settings. We illustrate this methodology by application to a study of VASIR--the high-performance, open-source, NIST iris-based biometric system, which has just come under recent release.