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Update hello-biometrics-in-enterprise.md

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regards --> regard per Acrolinx
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Jeff Borsecnik
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windows/security/identity-protection/hello-for-business/hello-biometrics-in-enterprise.md
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@ -53,7 +53,7 @@ The biometric data used to support Windows Hello is stored on the local device o
## Has Microsoft set any device requirements for Windows Hello? ## Has Microsoft set any device requirements for Windows Hello?
We've been working with the device manufacturers to help ensure a high-level of performance and protection is met by each sensor and device, based on these requirements: We've been working with the device manufacturers to help ensure a high-level of performance and protection is met by each sensor and device, based on these requirements:
- **False Accept Rate (FAR).** Represents the instance a biometric identification solution verifies an unauthorized person. This is normally represented as a ratio of number of instances in a given population size, for example 1 in 100 000. This can also be represented as a percentage of occurrence, for example, 0.001%. This measurement is heavily considered the most important with regards to the security of the biometric algorithm. - **False Accept Rate (FAR).** Represents the instance a biometric identification solution verifies an unauthorized person. This is normally represented as a ratio of number of instances in a given population size, for example 1 in 100 000. This can also be represented as a percentage of occurrence, for example, 0.001%. This measurement is heavily considered the most important with regard to the security of the biometric algorithm.
- **False Reject Rate (FRR).** Represents the instances a biometric identification solution fails to verify an authorized person correctly. Usually represented as a percentage, the sum of the True Accept Rate and False Reject Rate is 1. Can be with or without anti-spoofing or liveness detection. - **False Reject Rate (FRR).** Represents the instances a biometric identification solution fails to verify an authorized person correctly. Usually represented as a percentage, the sum of the True Accept Rate and False Reject Rate is 1. Can be with or without anti-spoofing or liveness detection.