Location-Based Biometric Authentication Thresholds Across Services
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Solution Overview
Problem
Existing biometric authentication systems require increased processing load when multiple services with varying accuracy needs are offered, as users must perform authentication for each service, despite differing certainty requirements.
Innovation Solution
A method and device that utilize tracking cameras and service provider terminals to determine the location of individuals within an authentication space, calculating accuracy values and allowing access to services based on pre-set thresholds, reducing the need for repeated authentication by guiding users to improve their positioning for better capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If biometric authentication is performed for each service with varying accuracy requirements, then authentication reliability is improved, but processing load increases
Solution Approach 1:
The authentication process is segmented into two distinct stages: (1) a fast initial authentication stage that provides quick verification, and (2) a more rigorous authentication stage for high-stakes services. This segmentation allows the system to apply appropriate authentication intensity based on service requirements, reducing overall processing load while maintaining reliability where needed.
Solution Approach 2:
Different authentication thresholds and verification intensities are applied locally to different services based on their specific accuracy requirements. High-security services receive stringent authentication with higher thresholds, while low-security services use more lenient authentication, optimizing the balance between reliability and processing efficiency across the system.
2Adaptability or versatility
If multiple services with different accuracy requirements are offered, then service versatility is improved, but system complexity increases
Solution Approach 1:
The system manages complexity by dynamically adjusting authentication parameters (thresholds, verification intensity) based on service type rather than implementing separate authentication systems for each service. This parameter-based approach allows versatile service support while maintaining a unified, manageable system architecture.
3Measurement precision
If authentication threshold is increased to reduce false acceptance, then authentication precision is improved, but false rejection rate increases
Solution Approach 1:
The authentication threshold is made dynamic rather than fixed, adjusting based on service risk levels and contextual factors. High-risk services use higher thresholds to reduce false acceptance, while low-risk services use lower thresholds to minimize false rejection, optimizing the balance between precision and reliability across different scenarios.
Data Source
AI summary
In a determination method, a computer executes a process including, when identification information that identifies a person detected from an image is obtained, calculating a probability value indicating likelihood that the identification information corresponds to the person, and when location information of the person is obtained, referring a memory that stores a probability threshold and location information for each of multiple services in association with each other, and determining whether a calculated probability value is equal to or greater than the probability threshold of a service that corresponds to the location information of the person among the multiple services.