Biometric Self-Enrollment Using Trusted Credentials and Stability Checks
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Solution Overview
Problem
Biometric systems require cumbersome and resource-intensive enrollment processes that deter users, especially in large databases, due to the need for manual intervention and high initial setup costs.
Innovation Solution
A biometric self-enrollment method that allows users to securely verify their identity using trusted credentials, captures provisional biometric data, and automatically refines these credentials over multiple encounters, transitioning to stable biometric identification without a separate enrollment session.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional manual enrollment processes are used, then biometric credentials can be accurately captured and verified, but the process becomes time-consuming and resource-intensive
Solution Approach 1:
The system enables users to perform self-enrollment by automatically capturing biometric data (facial images, fingerprints) and processing credentials without requiring manual intervention from attendants. The enrollment system autonomously guides users through the process, captures multiple biometric samples, and completes verification automatically, eliminating the need for time-consuming manual enrollment sessions.
Solution Approach 2:
The system performs preliminary biometric data collection during initial access attempts before formal enrollment is required. By capturing and processing biometric credentials in advance during normal system usage, the system prepares enrollment data beforehand, eliminating the need for separate enrollment sessions and reducing overall enrollment time.
2Reliability
If manual enrollment sessions are conducted, then quality control of biometric credentials is ensured, but costs increase due to human resources required
Solution Approach 1:
The enrollment system performs automated quality assessment and verification of biometric credentials without requiring human attendants. The system automatically evaluates the quality of captured biometric data, determines suitability for enrollment, and processes credentials autonomously, eliminating labor costs while maintaining consistent quality control through programmed verification algorithms.
Solution Approach 2:
The patent replaces manual human assessment with automated electronic verification systems. The enrollment system uses computer-based algorithms to assess biometric quality, verify credentials, and make enrollment decisions, substituting the mechanical process of manual review with automated digital processing that reduces costs while maintaining reliability.
3Measurement precision
If comprehensive enrollment instructions are provided, then biometric capture quality is improved, but the process becomes more complex and cumbersome
Solution Approach 1:
The system provides automated, context-aware guidance that adapts to user actions and automatically adjusts instructions based on real-time capture quality. The enrollment system dynamically generates appropriate guidance without requiring users to navigate complex manual procedures, simplifying the process while maintaining high capture quality through intelligent, adaptive instructions.
Solution Approach 2:
The enrollment process uses dynamic, adaptive instructions that change based on real-time feedback from biometric capture quality. The system adjusts guidance instructions automatically according to the quality of captured data, providing targeted assistance only when needed and avoiding unnecessary complexity in successful captures, thereby simplifying the overall process while maintaining precision.
4Reliability
If multiple biometric modalities are collected, then system reliability is improved, but the enrollment process becomes more time-consuming
Solution Approach 1:
The system collects multiple biometric modalities (facial images, fingerprints) automatically during initial access attempts before formal enrollment is required. By gathering comprehensive biometric data in advance during normal usage, the system builds reliable multi-modality profiles beforehand, eliminating the need for separate comprehensive enrollment sessions and reducing overall time while maintaining reliability.
Solution Approach 2:
The biometric collection process continues automatically across multiple access attempts without requiring users to repeat comprehensive enrollment procedures. The system continuously captures and adds biometric modalities to the user profile during normal usage, making the enrollment process continuous and integrated with regular access rather than a separate time-consuming event.
Data Source
AI summary
Disclosed herein are methods, apparatus, and systems for seamless biometric self-enrollment. The method including automatically: capturing, by a biometric capture device, biometric modality data for a user in response to a presentation of a user trusted credential for logical access or access to an object during an enrollment process, determining, by an enrollment system, whether biometric modalities for the user are stable, generating a biometric modality template for each unstable biometric modality, replacing a matched stored biometric modality template with the biometric modality template when the biometric modality template is qualitatively better than the matched stored biometric modality template, performing stability accounting when the matched stored biometric modality template is at least qualitatively equal to the biometric modality template, and initiating access processing when at least all biometric modalities are stable and verified.