Name: Biometric Quality: The Last 1%: Biometric Quality Assessment for Error Suppression (en Inglés)
SKU: 60549380
Price: 31.72 USD
Availability: InStock
Author: Grother, Patrick ; National Institute of Standards and Tech ; Tabassi, Elham
ISBN: 9781495984501

portada Biometric Quality: The Last 1%: Biometric Quality Assessment for Error Suppression (en Inglés)

Biometric Quality: The Last 1%: Biometric Quality Assessment for Error Suppression (en Inglés)

Formato

Libro Físico

Autor

National Institute of Standards and Tech

Patrick Grother

Elham Tabassi

Editorial

Createspace

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

28x21.6x0.4 cm

Peso

0.18 kg.

ISBN13

9781495984501

Categorías

Aplicaciones industriales de investigación científica e innovación tecnológica

Biometric Quality: The Last 1%: Biometric Quality Assessment for Error Suppression (en Inglés)

National Institute of Standards and Tech (Autor) · Patrick Grother (Autor) · Elham Tabassi (Autor) · Createspace · Tapa Blanda

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Reseña del libro "Biometric Quality: The Last 1%: Biometric Quality Assessment for Error Suppression (en Inglés)"

Performance of biometric recognition systems degrades substantially as quality of the input samples drops. Although only a small fraction of input data are of poor-quality, the bulk of recognition errors can be attributed to poor-quality samples. If quality can be improved, either by sensor design, by user interface design, or by standards compliance, better performance can be realized. For those aspects of quality that cannot be designed-in, an ability to analyze the quality of a live sample is needed. This is useful primarily in initiating the reacquisition from a user, but also for the real-time selection of the best sample, the selective invocation of different processing methods, or fusion. Accordingly, biometric quality measurement algorithms are increasingly deployed in operational systems, US-VISIT, PIV, and EU VIS each mandate the measurement and reporting of quality scores of captured images. With the increase in deployment of quality algorithms, the need to standardize an interoperable way to store and exchange biometric quality scores, and methods for evaluation the effectiveness of quality algorithms increases. This document describes NIST's activities on biometric sample quality research and standardization.