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GB/T 33767.4-2018Information technology -- Biometric sample quality -- Part 4: Finger image data (English PDF)

信息技术 生物特征样本质量 第4部分:指纹图像数据

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Issued by

State Administration for Market Regulation, China National Standardization Administration

Level / Type

National · Recommended

Issue date

March 15, 2018

Implementation date

October 1, 2018

Scope

GB/T 33767.4-2018 is the English-translated version of 信息技术 生物特征样本质量 第4部分:指纹图像数据.

GB/T 33767.4-2018 is the Chinese standard "Information technology -- Biometric sample quality -- Part 4: Finger image data".

Its scope clause reads: For the quality aspects of fingerprint image modality, this part of GB/T 33767. --- Established terms, definitions and definitions that help the quality measurement of fingerprint images; --- Defines the fingerprint image quality score; --- Identify or define a fingerprint image sample library to provide information for algorithm developers and users; --- In order to describe the characteristics of quality metrics, a special statistical method has been developed for the fingerprint image database to help understand the quality score and its Relationship with matching performance.

This section does not include the following. --- Performance evaluation and standardization of quality algorithms. Its clauses include terms and definitions.

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Document preview — GB/T 33767.4-2018

National Standard of the People's Republic of China

ICS
35.240.15
Classification
L 70

Issued by: State Administration for Market Regulation, China National Standardization Administration

Contents

  • Preface
  • Introduction
  • 1 Scope
  • 2 Normative references
  • 3 Terms and Definitions
  • 4 Symbols and Abbreviations
  • 5 Fingerprint image quality
  • 6 Fingerprint Image Quality Analysis

1 Scope

For the quality aspects of fingerprint image modality, this part of GB/T 33767.

--- Established terms, definitions and definitions that help the quality measurement of fingerprint images;

--- Defines the fingerprint image quality score;

--- Identify or define a fingerprint image sample library to provide information for algorithm developers and users;

--- In order to describe the characteristics of quality metrics, a special statistical method has been developed for the fingerprint image database to help understand the quality score and its

Relationship with matching performance.

This section does not include the following.

--- Performance evaluation and standardization of quality algorithms.

2 Normative references

The following documents are indispensable for the application of this document. For dated references, only dated versions apply to this article

Pieces. For undated references, the latest version (including all amendments) applies to this document.

ISO /IEC 29794-1 Quality of Information Technology Biometric Samples Part 1. Frameworks (Information technology-

Biometricsamplequality-Part 1.Framework)

3 Terms and definitions

The terms and definitions defined by ISO /IEC 29794-1 and the following apply to this document.

3.1 Foreground area

The area of the fingerprint image that contains the features of the valid fingerprint image.

Note. The most obvious structural feature of effective fingerprint images is the intersection of ridge lines and valley lines.

3.2 Local area localregion

An image block of m×n pixels in the foreground area of the fingerprint image, where m and n are both smaller than the width and height of the fingerprint image.

3.3 Fingerprint image quality evaluation algorithm

The algorithm used to calculate the sample quality score for a given fingerprint image.

3.4 Fingerprint image database

Fingerprint image sample set.

3.5 Fingerprint image quality classification

The common attributes of a set of fingerprint images. For a type of fingerprint matcher, the fingerprint image with the same common attributes is expressed or

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This preview omits tables, figures, formulas and parts of the technical clauses. The complete document — 30 pages — is available in the English PDF.

Referenced standards

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GB/T 33767.4-2018

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