Mobile Biometric Authentication via Image Alignment
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Solution Overview
Problem
Existing identity verification methods face challenges in efficiently authenticating individuals using unsupported objects or mobile cameras, requiring complex image registration processes that increase computational burden and may fail in dynamic environments.
Innovation Solution
The method involves capturing and aligning candidate images with enrollment images using a camera and display, allowing for authentication without precise contour alignment, and incorporating time-series and symbol-based verification to enhance security and reduce computational demands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex image registration processes are used for identity verification, then authentication accuracy is improved, but computational burden increases
Solution Approach 1:
The patent segments the authentication process into distinct phases: enrollment (capturing reference images of body parts) and verification (capturing candidate images and comparing them). This segmentation allows each phase to be optimized independently, reducing overall computational complexity while maintaining accuracy through focused processing at each stage.
Solution Approach 2:
The patent performs preliminary action by capturing and storing enrollment images of body parts during a separate enrollment phase before actual authentication is needed. These pre-captured reference images are stored and reused during verification, eliminating the need to repeatedly process complex registration algorithms and reducing real-time computational burden.
2Reliability
If precise contour alignment is required for authentication, then verification reliability is improved, but ease of operation deteriorates
Solution Approach 1:
The patent applies partial action by requiring only key feature alignment rather than complete contour matching. The system identifies and compares specific distinctive features (such as fingerprint ridges, iris patterns, or facial landmarks) without requiring the entire boundary contour to be perfectly aligned, thus maintaining verification reliability while significantly improving ease of operation.
3Reliability
If traditional biometric methods are used, then authentication security is improved, but adaptability to mobile environments deteriorates
Solution Approach 1:
The patent substitutes traditional mechanical/optical biometric systems (requiring fixed scanners, controlled lighting, and precise positioning) with mobile-compatible imaging technology. By using standard mobile device cameras and displays to capture and present enrollment images, the system maintains authentication security while adapting to the constraints and capabilities of mobile environments.
Solution Approach 2:
The patent introduces dynamics by enabling authentication to occur in various positions, orientations, and environmental conditions using mobile devices. The system adapts to different user positions and lighting conditions through flexible image capture and processing, allowing secure authentication to be performed dynamically in real-world mobile environments rather than requiring fixed, controlled settings.
Data Source
AI summary
Interactive based on said set steps of authentication methods for the recognition of a person. During authentication, a previously stored enrollment image is presented on a display to the person. A candidate person is instructed to present a reproduced image of the same scene and/or object to a camera while the person is holding the camera (mobile camera for example) unsupported in free space with respect to the scene or object. Alternatively, the user 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. On alignment, the candidate image is verified as an authentic image of the person and the candidate person is authenticated as the person previously enrolled. The motivation of the invention is that once a person authenticates and the data alignment is accurate as in the registration. The needed CPU resources decreases dramatically and the level of authentication is increased in few magnitudes.