Biometric Middleware for Cross-Device Algorithm Selection
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Solution Overview
Problem
Conventional methods for extracting biometric characteristic values from user information are inefficient due to differences in default extraction algorithms used by various equipment manufacturers, leading to incompatibility issues when users attempt to access accounts on different devices, resulting in the need for repeated value resets and wastage of network resources.
Innovation Solution
Implementing middleware that selects and applies a specific extraction algorithm corresponding to the client equipment, ensuring consistent characteristic value extraction across different devices, thereby allowing seamless biometric authentication across various platforms without the need for repeated value resets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If equipment manufacturers use default extraction algorithms hardwired into equipment at manufacturing time, then equipment security and manufacturer control are improved, but cross-device compatibility and user convenience deteriorate
Solution Approach 1:
The patent introduces a middleware layer between the collection device and the client application. This middleware acts as an intermediary that receives biometric information from the collection device, selects the appropriate extraction algorithm based on the client's requirements, and provides the extracted characteristic values to the client. This resolves the contradiction by allowing equipment manufacturers to maintain control over the extraction process while enabling cross-device compatibility through the middleware's algorithm selection capability.
2Reliability
If different extraction algorithms are used for different equipment manufacturers, then equipment-specific security is improved, but system complexity and user inconvenience increase
Solution Approach 1:
The patent implements a universal middleware system that can work across multiple equipment manufacturers and client types. The middleware is designed with multi-functionality to handle different extraction algorithms and adapt to various client requirements. This universal approach maintains equipment-specific security through algorithm differentiation while reducing system complexity by providing a unified interface and automated algorithm selection mechanism.
3Reliability
If users reset characteristic values when switching devices, then cross-device authentication reliability is improved, but network resource consumption and user time increase
Solution Approach 1:
The patent implements preliminary action by having the middleware pre-select and pre-configure the appropriate extraction algorithm before the authentication process begins. When a user accesses a service on a different device, the middleware automatically identifies the required algorithm and extracts characteristic values in advance, eliminating the need for users to manually reset values. This pre-configured approach maintains cross-device authentication reliability while significantly reducing network resource consumption by avoiding unnecessary value reset operations.
Data Source
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AI summary
Extracting characteristic information includes receiving a collection command from a client, obtaining, via a collection device, biometric information based on the collection command, selecting a stored extraction algorithm corresponding to the client, the stored extraction algorithm being selected from among a plurality of stored extraction algorithms, extracting characteristic values from the obtained biometric information, the characteristic values being extracted based on the selected extraction algorithm, and sending the extracted characteristic values to the client.