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{ "item_title" : "Sensitivity Analysis for Biometric Systems", "item_author" : [" U. S. Department of Commerce "], "item_description" : "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 others-that 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, important interactions, and locally-optimal settings.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/49/973/535/1499735359_b.jpg", "price_data" : { "retail_price" : "16.99", "online_price" : "16.99", "our_price" : "16.99", "club_price" : "16.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Sensitivity Analysis for Biometric Systems|U. S. Department of Commerce

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

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Overview

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 others-that 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, important interactions, and locally-optimal settings.

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Details

  • ISBN-13: 9781499735352
  • ISBN-10: 1499735359
  • Publisher: Createspace Independent Publishing Platform
  • Publish Date: July 2014
  • Dimensions: 11.02 x 8.5 x 0.09 inches
  • Shipping Weight: 0.28 pounds
  • Page Count: 44

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