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biometric sample data iris image data information technology biometric sample quality part iris image data introductionthis standard data integrity resident id card fingerprint information seismic resilience assessment ultra-wideband antennas
GB/T 33767.6-2018 in English

GB/T 33767.6-2018 in English

VALID

Information technology—Biometric sample quality—Part 6:Iris image data

  • Issued on:2018-06-07
  • Implemented on:2019-01-01
  • File Format:PDF
  • Delivery:Via email within 5 business days
Price(USD): $430.00
$418.00
Standard No: GB/T 33767.6-2018
Document status: VALID
Title in English: Information technology—Biometric sample quality—Part 6:Iris image data
Title in Chinese: 信息技术 生物特征样本质量 第6部分:虹膜图像数据
Language: English
File Format: Electronic (PDF)
Delivery: Via email within 5 business days
Issued on: 2018-06-07
Implemented on: 2019-01-01
Chinese Classification: L71-Code, character set and character recognition
Professional Classification: GB-National Standard
Related Keywords: biometric sample data
iris image data
information technology biometric sample quality part
iris image data introductionthis standard
data integrity
Related Topics: Substances with characteristic peaks
The characteristic peak of the substance
biological imaging technology
biological imaging technology
Substance information data
pickled film image
data information substance
GB/T 33767.6
GB/T 33767.6-2018
Information Technology Biometric Sample Quality
Biological sample quality testing methods

《GB/T 33767.6-2018信息技术 生物特征样本质量 第6部分:虹膜图像数据》由TC28(全国信息技术标准化技术委员会)归口,TC28SC37(全国信息技术标准化技术委员会生物特征识别分会)执行,主管部门为国家标准化管理委员会。


Introduction

This standard outlines the requirements for the quality of biometric sample data, specifically focusing on iris image data. It provides guidelines for the collection, processing, and representation of iris images to ensure consistency and reliability in biometric applications. The document defines technical specifications related to image resolution, format, and data integrity. It also includes criteria for assessing the quality of iris images to support accurate identification and verification processes. The standard aims to establish a common framework for the exchange and use of iris image data across different systems and organizations. It covers aspects such as image acquisition parameters, storage formats, and validation methods. This standard is intended for use by developers, researchers, and organizations involved in the design and implementation of biometric systems.

*** Please note: This description may not be accurate, please refer to the official documentation.

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