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CSA ISO/IEC 20027:20
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The latest, up-to-date edition.
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Information technology — Guidelines for slap tenprint fingerprintture (Adopted ISO/IEC 20027:2018, first edition, 2018-07)
Hardcopy , PDF
English
01-01-2020
CSA Preface Standards development within the Information Technology sector is harmonized with international standards development. Through the CSA Technical Committee on Information Technology (TCIT), Canadians serve as the SCC Mirror Committee (SMC) on ISO/IEC Joint Technical Committee 1 on Information Technology (ISO/IEC JTC1) for the Standards Council of Canada (SCC), the ISO member body for Canada and sponsor of the Canadian National Committee of the IEC. Also, as a member of the International Telecommunication Union (ITU), Canada participates in the International Telegraph and Telephone Consultative Committee (ITU-T). This Standard has been formally approved, without modification, by the Technical Committee and has been developed in compliance with Standards Council of Canada requirements for National Standards of Canada. It has been published as a National Standard of Canada by CSA Group. Scope This document provides guidelines to follow during the acquisition process of slap tenprints in order to obtain fingerprints of the best quality possible within acceptable time constraints. Non-cooperative users are out of the scope of this document. When using ten-fingerprint sensors, it is fundamental to know how to use them and how to proceed with the acquisition. This document describes how to capture fingerprints correctly by specifying best practices for slap tenprint captures. It gives recommendations on the following topics: 1) hardware of the fingerprint sensor and its deployment; 2) user guidance; 3) enrolment process including a sample workflow; 4) application software for developers and system integrators; 5) processing, compression and coding of the acquired fingerprint images; 6) operational issues and data logging; 7) evaluation of a solution and its components. Although this document primarily focuses on reaching optimal data quality for enrolment purposes, the recommendations given here are applicable for other purposes. All processes which rely on good quality tenprint slaps can take advantage of the best practices.
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