Identity Authentication Verification Using Sequential Image Capture
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing electronic transaction systems face challenges in verifying the authenticity of users, particularly in scenarios where unauthorized access occurs, as facial recognition may not distinguish between the authorized user and a submitted photograph, leading to potential fraud.
Innovation Solution
The system captures two images sequentially and compares them for similarity, using metadata such as time and location information, along with facial recognition, to determine if the images are from the same authentic source, thereby enhancing identity verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If facial recognition is used for identity verification, then authentication speed is improved, but reliability deteriorates because it cannot distinguish between an authorized user and a submitted photograph
Solution Approach 1:
The system captures a second reference image immediately before capturing the first submission image, establishing a temporal sequence that prevents photo substitution attacks. This preliminary action creates a baseline that must be temporally consistent with the submission, adding a time-based verification layer that maintains fast authentication while preventing fraud
Solution Approach 2:
The system compares the first submission image with the second reference image to verify temporal consistency and detect whether the same photograph is being submitted. This feedback mechanism analyzes image similarity, metadata consistency, and temporal relationships to determine authentication validity, thereby improving reliability without significantly impacting authentication speed
2Reliability
If multiple images are captured and compared for verification, then reliability is improved, but device complexity increases
Solution Approach 1:
The verification process is segmented into distinct phases: capturing the first submission image, capturing the second reference image, comparing the two images, and making an authentication decision. This segmentation allows each component to be independently optimized and managed, reducing overall system complexity while maintaining high reliability through systematic multi-image verification
3Measurement precision
If image comparison with metadata analysis is performed, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system performs partial metadata analysis by focusing on critical fields such as timestamp, device ID, and location information rather than analyzing all possible metadata. This selective approach provides sufficient verification precision to detect photo substitution while minimizing the time overhead associated with comprehensive metadata processing
Data Source
AI summary
Systems and methods for identity authentication verification are disclosed. First image data corresponding to a first image is submitted in response to a request to authenticate the identity of a user of a device. A second image is captured shortly after the first image is captured. The first and second image data and/or metadata associated with the first and second image are compared and analyzed to determine if the first image is an authentic image captured by a camera of the device and if the person depicted in the first image is the user of the device.