Adaptation method for inter-person biometrics variability
First Claim
1. A method, comprising:
- extracting a feature from a biometric sample captured from a subject requesting enrollment;
calculating a standard deviation for the feature using a microprocessor, the standard deviation calculated from the biometric sample and at least one other biometric sample;
determining whether the standard deviation of the feature is greater than a standard deviation of a centroid of a density function; and
deriving a correction factor for the subject based on a trend line of the density function if the standard deviation of the feature is greater than the standard deviation of the centroid.
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Accused Products
Abstract
Embodiments of a system and method for verifying an identity of a claimant are described. In accordance with one embodiment, a feature may be extracted from a biometric sample captured from a claimant claiming an identity. The extracted feature may be compared to a template associated with the identity to determine the similarity between the extracted feature and the template with the similarity between them being represented by a score. A determination may be made to determine whether the identity has a correction factor associated therewith. If the identity is determined to have a correction factor associated therewith, then the score may be modified using the correction factor. The score may then be compared to a threshold to determine whether to accept the claimant as the identity. In accordance with a further embodiment, during enrollment of a subject in a biometric verification system, a feature may be extracted from a biometric sample captured from the subject requesting enrollment and a standard deviation for the feature may then be calculated. A determination may then be performed to determining whether the standard deviation of the feature is greater than a standard deviation of a centroid of a density function. If the standard deviation of the feature is greater than the standard deviation of the centroid, then a correction factor for the subject may be derived based on a trend line of the density function.
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Citations
6 Claims
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1. A method, comprising:
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extracting a feature from a biometric sample captured from a subject requesting enrollment; calculating a standard deviation for the feature using a microprocessor, the standard deviation calculated from the biometric sample and at least one other biometric sample; determining whether the standard deviation of the feature is greater than a standard deviation of a centroid of a density function; and deriving a correction factor for the subject based on a trend line of the density function if the standard deviation of the feature is greater than the standard deviation of the centroid. - View Dependent Claims (2, 3, 4, 5, 6)
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Specification