Name: Sensitivity Analysis for Biometric Systems: A Methodology Based on Orthogonal Experimental Designs (en Inglés)
SKU: 61067369
Price: 31.08 USD
Availability: InStock
Author: U. S. Department of Commerce
ISBN: 9781499735352

portada Sensitivity Analysis for Biometric Systems: A Methodology Based on Orthogonal Experimental Designs (en Inglés)

Sensitivity Analysis for Biometric Systems: A Methodology Based on Orthogonal Experimental Designs (en Inglés)

Formato

Libro Físico

Autor

U. S. Department of Commerce

Editorial

Createspace

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

28x21.6x0.2 cm

Peso

0.13 kg.

ISBN13

9781499735352

Categorías

Enciclopedias y obras de consulta

Sensitivity Analysis for Biometric Systems: A Methodology Based on Orthogonal Experimental Designs (en Inglés)

U. S. Department of Commerce (Autor) · Createspace · Tapa Blanda

Libro Nuevo Importado

Envío: 21 a 28 días háb.

$ 56.50$ 31.08

-45%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 100 unidades

$ 31.08

Llega entre el 27 Oct y el 11 Nov a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Sensitivity Analysis for Biometric Systems: A Methodology Based on Orthogonal Experimental Designs (en Inglés)"

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.