Biometric Identification Using Combined Face and Eye-Print Features
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Solution Overview
Problem
Current electronic payment systems using mobile devices face challenges in securely identifying users, as both the device and password can be stolen, leading to potential economic losses.
Innovation Solution
An identification method and apparatus that acquires a face image and an eye image, including iris or eye-print features, to verify users through a combination of facial recognition and biometric data, ensuring multiple factors are used for secure identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a payment password is used for identification, then the ease of operation is improved, but the reliability is worsened because both the device and password can be stolen
Solution Approach 1:
The patent combines multiple identification factors (face image, iris feature, eye-print feature) into a unified biometric authentication system. This merging of multiple identification methods creates a more reliable security mechanism while maintaining user convenience through automated recognition processes.
Solution Approach 2:
The patent transitions from traditional password-based authentication to biometric authentication by changing the identification parameter from something users know (password) to something users are (biometric features). This parameter change fundamentally improves reliability while preserving ease of operation through natural biometric capture.
2Reliability
If multiple biometric factors are combined for identification, then the reliability is improved, but the device complexity is worsened
Solution Approach 1:
The patent employs a camera module that serves multiple functions: capturing face images, acquiring iris features, and obtaining eye-print features. This multi-functionality allows the same hardware component to support multiple biometric identification methods, reducing overall device complexity while maintaining high reliability through combined authentication factors.
Data Source
AI summary
An identification method includes: controlling at least one camera to acquire a face image and an eye image of a target object, wherein the eye image includes at least one of an iris feature or an eye-print feature; and identifying the target object based on the face image and the eye image.