Mobile Camera Facial Authentication With Movement Path Verification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing biometric security methods, such as fingerprint systems, are either too expensive or unreliable for use on small electronic devices, and conventional facial recognition systems are not considered secure enough for authenticating users.
Innovation Solution
A facial recognition authentication system that uses a mobile device with a camera and movement detecting sensors to enroll and authenticate users by capturing images of the user's face from different angles and distances, while also tracking the movement path of the device during imaging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fingerprint systems are used for authentication, then security is improved, but device cost increases and reliability decreases
Solution Approach 1:
The patent replaces mechanical fingerprint scanning with optical facial recognition using a camera. The system captures multiple images of the user's face from different angles and uses image processing algorithms to create a three-dimensional facial model for authentication, eliminating the need for expensive mechanical fingerprint readers while maintaining or improving security.
Solution Approach 2:
The patent transforms the authentication parameter from fingerprint characteristics to facial geometric parameters. By capturing multiple images at different angles and distances, the system creates a three-dimensional facial representation and uses movement path parameters to verify authentication, providing a more reliable and cost-effective solution.
2Ease of operation
If conventional two-dimensional facial recognition is used, then ease of operation is improved, but security deteriorates
Solution Approach 1:
The patent transitions from two-dimensional facial recognition to three-dimensional facial analysis. By capturing multiple images from different angles and creating a three-dimensional facial model, the system maintains ease of use while significantly improving security against spoofing attacks. The three-dimensional model provides more comprehensive facial characteristics for authentication.
Solution Approach 2:
The patent introduces dynamic movement path verification to the authentication process. Instead of static two-dimensional images, the system captures the movement trajectory of the device during authentication and compares it against stored enrollment data. This dynamic element adds an additional layer of security while maintaining user convenience.
3Reliability
If movement detection is added to facial recognition, then security is improved, but device complexity increases
Solution Approach 1:
The patent leverages the existing camera and sensor capabilities already present in mobile devices for multiple functions. The camera captures both facial images and movement information, and the device's natural movement during normal use serves dual purposes: capturing the three-dimensional facial model during enrollment and verifying authentication during login. This multi-functionality avoids adding significant hardware complexity.
Solution Approach 2:
The system uses the device's natural movement during normal operation as part of the authentication process. The movement path is captured automatically as the user naturally moves the device, eliminating the need for separate complex movement capture mechanisms. The device's inherent motion during use serves the authentication function.
Data Source
AI summary
Systems and methods for enrolling and authenticating a user in an authentication system via a user's camera of camera equipped mobile device include capturing and storing enrollment biometric information from at least one first image of the user taken via the camera of the mobile device, capturing authentication biometric information from at least one second image of the user, capturing, during imaging of the at least one second image, path parameters via at least one movement detecting sensor indicating an authentication movement of the mobile device, comparing the authentication biometric information to the stored enrollment biometric information, and comparing the authentication movement of the mobile device to an expected movement of the mobile device to determine whether the authentication movement sufficiently corresponds to the expected movement.