Mobile Authentication Using Visual Alignment Templates
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Solution Overview
Problem
Existing identity verification methods face challenges in efficiently authenticating users using biometric data, particularly when images are captured with mobile devices, as they require precise alignment and registration of features, which can be computationally burdensome and prone to errors.
Innovation Solution
The method involves capturing enrollment images of body parts or objects in free space, allowing users to align and authenticate using features like lines, ridges, or skin pigmentation, with optional image processing techniques such as mirror inversion, and incorporating time synchronization and symbol sequences for enhanced security, all within a mobile computer system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional biometric authentication methods are used requiring precise alignment and registration of features, then authentication reliability is improved, but computational burden and complexity increase
Solution Approach 1:
The patent uses a displayed enrollment image as a visual template that the user replicates by positioning their body part in front of the camera. This copying approach replaces complex automated feature extraction and alignment algorithms with a simple visual guidance mechanism, reducing computational burden while maintaining authentication reliability through direct user replication of the enrolled pose.
Solution Approach 2:
The displayed enrollment image serves as an intermediary between the system and the user during alignment. Instead of directly comparing raw camera images with stored biometric data through complex algorithms, the system presents a processed reference image that guides the user to achieve proper positioning, simplifying the overall authentication process.
2Measurement precision
If manual alignment by user is required during authentication, then alignment accuracy is improved, but authentication time increases
Solution Approach 1:
The enrollment image is prepared and displayed in advance during the authentication process, providing the user with a ready reference template. This preliminary preparation eliminates the need for real-time complex image processing and iterative alignment adjustments, allowing the user to quickly position their body part by visual comparison with the pre-displayed template.
Solution Approach 2:
The user performs the alignment task themselves by visually comparing the displayed enrollment image with their own body part in real-time. This self-service alignment approach eliminates the need for complex automated alignment algorithms, reducing computational time while maintaining accuracy through direct visual feedback to the user.
3Ease of operation
If simple authentication methods are used, then ease of operation is improved, but security against imposters deteriorates
Solution Approach 1:
The patent incorporates multiple dimensions of verification beyond simple image matching: temporal sequencing of captured images, symbol recognition and sequencing, and background analysis. These additional dimensions are integrated into the authentication process in a way that maintains user-friendly operation while significantly enhancing security against imposters through multi-factor verification.
Solution Approach 2:
The authentication system combines multiple verification elements (biometric image alignment, symbol sequencing, temporal validation, background verification) into a composite authentication mechanism. This composite approach maintains ease of operation by presenting a unified user interface while achieving enhanced security through the combination of multiple verification layers that an imposter would need to simultaneously replicate.
Data Source
AI summary
Authentication methods for recognition of a candidate person. During authentication, a previously stored enrollment image is presented on a display to a candidate person. The candidate person is instructed to present a reproduced image of the same scene and/or object to a camera while holding the camera (mobile camera for example) unsupported in free space with respect to the viewed scene or object. Alternatively the candidate person can hold the object unsupported in free space with respect the camera. Using the camera, a candidate image of the viewed scene or object is captured and presented with the previously stored enrollment image. The candidate person aligns the candidate image with the previously stored enrollment image. Upon alignment, the candidate image is verified as an authentic image of the user and the candidate person is authenticated as the user previously enrolled.