Mobile Image Authentication Using Enrollment Template Alignment
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Solution Overview
Problem
Existing identity verification methods face challenges in efficiently authenticating individuals using image registration between enrollment and authentication images, particularly when objects are held in free space or captured by mobile devices, leading to increased computational burden and potential security vulnerabilities.
Innovation Solution
The method involves capturing and processing enrollment images independently of the person, allowing for alignment and verification of candidate images using features such as lines, points, edges, or textures, with optional image processing techniques like horizontal mirror inversion, and incorporating symbols or scales for enhanced security, all within a mobile computer system equipped with a camera and display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image registration is performed between enrollment and authentication images using traditional methods, then identity verification accuracy is maintained, but computational burden increases and processing time extends
Solution Approach 1:
The system performs preliminary actions by pre-processing enrollment images during the enrollment phase, including feature extraction and creation of reference templates. This preliminary processing reduces the computational burden during authentication, as only comparison operations are needed later rather than full image processing.
Solution Approach 2:
The patent extracts key features from images (such as facial landmarks, contours, or specific visual traits) and uses only these extracted features for registration and comparison, rather than processing entire images. This extraction approach significantly reduces computational complexity while maintaining verification accuracy.
2Reliability
If complex image processing techniques are applied during enrollment and authentication, then verification reliability is improved, but device complexity increases
Solution Approach 1:
The verification process is segmented into distinct phases: enrollment phase with comprehensive image processing and template creation, and authentication phase with simplified comparison operations. This segmentation allows complex processing to be confined to the enrollment phase while keeping the authentication phase simple and efficient.
3Reliability
If traditional biometric authentication methods are used, then identity verification is achieved, but security vulnerabilities increase due to potential fraud
Solution Approach 1:
The system introduces an intermediary display device that shows the captured image to the user for verification. This intermediary step allows the user to visually confirm that the captured image matches their appearance, adding a layer of security against fraud while maintaining the biometric authentication process.
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.