GB/T 26237.11-2023 Information technology—Biometric data interchange formats—Part 11:Signature/sign processed dynamic data

Scope

In order to conduct biometric comparison, this document specifies the data exchange format for processed signature/signature behavior data extracted from time series, which are collected using devices such as tablet computers, pen-based computing devices, or advanced pen systems.
The data exchange format is universal, as it can be widely applied to fields involving handwritten signatures or signature/signature behaviors. This document does not address specific application requirements or features.
This document includes definitions of relevant terms, descriptions of extracted data and the data format containing such data, as well as recommendations on whether a set of user signatures/signatures is suitable for identification using this document.
This document also specifies compliance test methods applicable to this document, test assertions, and test procedures. This document establishes test assertions related to the processed signature/signature dynamic data format (Class A Level 1 as specified in GB/T 26237.1—2022), compliance test assertions related to the internal consistency of numerical types that may be contained in each field (Class A Level 2 as specified in GB/T 26237.1—2022), and semantic test assertions (Class A Level 3 as specified in GB/T 26237.1—2022).
The compliance test methods specified in this document do not involve:
——Compliance testing of the CBEFF structure embedding processed signature/signature dynamic data;
——Testing of other features of biometric identification products or other types of biometric identification product tests (such as acceptance, performance, robustness, and security testing);
——Compliance testing of systems that do not generate data records meeting the requirements of this document.
This document is also suitable for time-stamping stored and transmitted data and encryption technologies used to protect the authenticity, integrity, and confidentiality of data; however, such p

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