Biometric Authentication Error Detection and Display
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Solution Overview
Problem
Existing biometric authentication techniques, such as facial recognition, are cumbersome due to the need for precise alignment during enrollment and authentication, often resulting in false negatives and requiring multiple iterations, and they typically rely on two-dimensional representations, failing to analyze three-dimensional characteristics, thus wasting user time and device energy.
Innovation Solution
The implementation of faster and more efficient biometric authentication methods and interfaces that include displaying a simulation of the biometric feature, a progress indicator, and instructional animations to guide the user during enrollment, allowing for the detection of biometric features in three dimensions and reducing unnecessary input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing biometric authentication techniques require precise alignment during enrollment and authentication, then authentication accuracy is improved, but user time and device energy are wasted due to multiple iterations
Solution Approach 1:
The system performs preliminary actions by capturing multiple images during enrollment and pre-processing them to create a composite reference image. This preliminary preparation ensures that the reference template is robust and reduces the need for multiple authentication iterations, thereby saving user time while maintaining high accuracy.
Solution Approach 2:
The system provides visual feedback during the authentication process by displaying alignment guides and real-time image capture status. This feedback mechanism guides users to achieve proper alignment more quickly, reducing the number of failed attempts and iterating time while maintaining authentication precision.
2Measurement precision
If existing biometric authentication techniques require precise alignment during enrollment and authentication, then authentication accuracy is improved, but device energy is wasted due to multiple iterations
Solution Approach 1:
The system performs preliminary actions by capturing multiple images during enrollment and pre-processing them to create a composite reference image. This preliminary preparation ensures that the reference template is robust and reduces the need for multiple authentication iterations, thereby saving device energy while maintaining high accuracy.
Solution Approach 2:
The system provides visual feedback during the authentication process by displaying alignment guides and real-time image capture status. This feedback mechanism guides users to achieve proper alignment more quickly, reducing the number of failed attempts and iterating time, thus conserving device energy.
3Device complexity
If existing biometric authentication techniques rely on two-dimensional representation, then system complexity is reduced, but authentication accuracy is limited due to failure to analyze three-dimensional characteristics
Solution Approach 1:
The system transitions from two-dimensional image analysis to three-dimensional depth map analysis. By capturing depth information and generating 3D representations of the biometric feature, the system achieves higher authentication accuracy while managing complexity through efficient processing algorithms and hardware optimization.
4Reliability
If existing biometric authentication techniques require multiple iterations, then authentication thoroughness is improved, but productivity is reduced due to time consumption
Solution Approach 1:
The system performs preliminary actions by capturing multiple images during enrollment and pre-processing them to create a composite reference image. This preliminary preparation ensures that the reference template is robust and reduces the need for multiple authentication iterations, thereby improving both thoroughness and speed.
Solution Approach 2:
The system implements early termination mechanisms that allow authentication to complete in fewer iterations when confidence thresholds are met. By skipping unnecessary additional iterations, the system maintains authentication thoroughness while significantly improving processing speed and productivity.
Data Source
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AI summary
The present disclosure relates generally to implementing biometric authentication, including providing user interfaces for: a biometric enrollment process tutorial, aligning a biometric feature for enrollment, enrolling a biometric feature, providing hints during a biometric enrollment process, application-based biometric authentication, autofilling biometrically secured fields, unlocking a device using biometric authentication, retrying biometric authentication, managing transfers using biometric authentication, interstitial user interfaces during biometric authentication, preventing retrying biometric authentication, cached biometric authentication, autofilling fillable fields based on visibility criteria, automatic log-in using biometric authentication, retrying biometric authentication at a credential entry user interface, providing indications of error conditions during biometric authentication, providing indications about the biometric sensor during biometric authentication, and orienting the device to enroll a biometric feature.