Biometric Authentication Using Pressure-Induced Texture Data
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Solution Overview
Problem
Current biometric authentication mechanisms, such as fingerprint authentication, face challenges in accuracy and security due to variations in fingerprint images caused by pressure changes and the inability to distinguish between genuine and fake biometric data, leading to increased security risks, especially in mobile devices used for financial transactions.
Innovation Solution
The method involves acquiring texture data that includes texture images and corresponding pressure indicators, allowing for the verification of genuine biometric data by comparing the captured images and pressure information against a biometric data model, thereby improving accuracy and security by differentiating between genuine and fake biometric data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pressure indicators are added to texture data to improve authentication accuracy, then the ability to distinguish genuine from fake biometric data improves, but the device complexity increases
Solution Approach 1:
The patent adds pressure information as a new dimension to the traditional 2D fingerprint texture data, transforming it into a 3D representation that includes depth/pressure information. This additional dimension enables better differentiation between genuine and fake biometric data without fundamentally changing the existing authentication framework.
Solution Approach 2:
The patent combines multiple types of biometric data (texture images and pressure indicators) into a composite biometric profile. This composite approach integrates different data modalities to create a more robust authentication system that leverages the strengths of each data type while mitigating their individual limitations.
2Reliability
If multiple texture images at different pressures are collected, then the reliability of biometric authentication improves, but the loss of time in data collection increases
Solution Approach 1:
The patent employs periodic pressure application during data collection, capturing texture images at multiple discrete pressure levels in a structured sequence. This periodic sampling approach ensures comprehensive data collection while maintaining efficiency by avoiding continuous or redundant measurements.
Solution Approach 2:
The patent performs preliminary pressure calibration and range determination before the actual authentication process. By pre-establishing the pressure parameters and optimal measurement ranges, the system avoids time-consuming adjustments during authentication while ensuring reliable multi-pressure data collection.
3Object-affected harmful factors
If pressure indicators are used to verify genuine biometric data, then security against fake data improves, but the difficulty of detecting and measuring increases
Solution Approach 1:
The patent introduces pressure indicators as an intermediary measurement that bridges the gap between physical contact and digital verification. These indicators serve as measurable proxies for genuine biometric properties, translating complex physical interactions into quantifiable data that can be easily verified against stored profiles.
Data Source
AI summary
The disclosure provides for biometric authentication. Texture data of an object associated with a user is acquired. The texture data comprises one or more texture images of the object and one or more corresponding pressure indicators indicating pressures under which the respective texture images are collected. The acquired texture data is then verified to authenticate the user.