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Abstract
Methods and systems are provided for an AdHoc enrollment process. A user may be able to enroll and be verified by a system for a variety of actions or authentications without being forced to turn over personally identifiable information and without having to formally enroll. The system may compare captured biometric information with existing biometric information and may identify the user without the use of personally identifiable information.
Core Innovation
The invention describes an AdHoc enrollment process for biometric authentication without formal enrollment and without collecting personally identifiable information (PII). A system receives biometric information associated with a user, extracts biometric data from the biometric information, and adds a session tag or metadata that omits personally identifiable information. The system then generates biometric templates based on the extracted biometric data.
The invention supports fusion of biometric data from multiple sources by generating a template that includes a fusion of first biometric data and second biometric data. The system compares the generated template with at least one stored template to generate a confidence value representing a degree of similarity between templates. The confidence value is compared to a threshold value, and the system sends at least one of a confirmation and an alert based on the comparing.
The invention includes verification features such as anti-spoofing and quality checking, and supports unimodal matching and multimodal matching. The matching may use machine learning classifiers and may use template fusion including Neyman-Pearson-based score fusion and logarithmic score mapping to support a single threshold for multi-biometrics. The system optionally allows threshold adjustment by a user device and may generate virtual representations of templates.
Claims Coverage
The independent claims cover three inventive aspects: fused-template biometric authentication with confirmation or alert based on confidence-to-threshold comparison, template-based biometric verification that generates a confidence value and confirms or alerts based on a threshold, and a register-and-enroll method that later compares templates to send confirmation or alert based on the threshold. Each independent claim includes a processor and memory storing instructions for receiving biometric information, extracting or generating biometric templates, computing a confidence value, comparing to a threshold, and sending at least one of confirmation and an alert.
Fused biometric templates with confidence-based confirmation or alert
Receive first biometric information and second biometric information associated with a user; extract first biometric data and second biometric data; generate a first template that includes a fusion of the first biometric data and the second biometric data; compare the first template with at least one stored template to generate a confidence value representing a degree of similarity; and send, at least based on comparing the confidence value to a threshold value, at least one of a confirmation and an alert.
Template comparison with confidence-based confirmation or alert
Receive first biometric information associated with a user; generate, based on the first biometric information, a first template; compare the first template with a second template to generate a confidence value representing a degree of similarity; compare the confidence value to a threshold value; and send, at least based on the comparing of the confidence value and the threshold value, at least one of a confirmation and an alert.
Registering and enrolling with later template comparison for confirmation or alert
Register a user biometric by receiving first biometric information at a first time, extracting first biometric data from the first biometric information, and generating a first template; enroll the user in the system by receiving first biometric information at a second time after the first time, extracting second biometric data from the first biometric information, and generating a second template; compare the second template with the first template to generate a confidence value representing a degree of similarity; and send, at least based on comparing the confidence value to a threshold value, at least one of a confirmation and an alert.
Across the independent claims, the core inventive structure is a confidence value computed from template comparisons and a threshold-based decision that drives confirmation versus an alert. Additional claimed refinements include fusing first and second biometric data into a single template, omitting personally identifiable information by using a session tag, and specifying capture modalities, output destinations, and example classifier/score-fusion approaches.
Stated Advantages
Not explicitly described in patent.
Documented Applications
Not explicitly described in patent.
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