Image-Based User Authentication Using Gesture Biometrics
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing user authentication systems face challenges in securely verifying user identity without requiring additional costly hardware, as passwords can be easily guessed or stolen, and biometric methods often necessitate extra equipment.
Innovation Solution
A user authentication system using an image capture device to capture sequences of gestures and expressions, generating biometric data to authenticate users without needing additional hardware, such as retinal scanners or fingerprint readers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If biometric verification methods (facial recognition, retinal scanning, fingerprint analysis) are used to authenticate users, then authentication security is improved, but hardware complexity and cost increase
Solution Approach 1:
The image capture device is designed to serve multiple functions: it captures both traditional authentication images and specialized biometric data (retinal patterns, fingerprint images, facial recognition data) using the same hardware component. This eliminates the need for separate dedicated biometric sensors, reducing hardware complexity while maintaining authentication security.
Solution Approach 2:
The system creates detailed digital copies of biometric characteristics (retinal patterns, fingerprint images, facial features) captured by the image capture device. These digital copies are stored and used for authentication comparisons, enabling secure biometric verification without requiring physical contact with specialized sensors or additional hardware beyond the image capture device.
2Ease of operation
If traditional password authentication is used, then ease of operation is improved, but security deteriorates due to passwords being easily guessed or stolen
Solution Approach 1:
The system replaces the mechanical/chemical system of passwords (typed characters stored as text) with an optical/biometric system. The image capture device captures visual biometric data (retinal patterns, fingerprint images, facial features) that are inherently harder to guess or steal, while maintaining user convenience through automatic recognition and comparison against stored templates.
3Reliability
If additional biometric hardware (retinal scanners, fingerprint readers) is deployed, then authentication security is improved, but manufacturing cost and device complexity increase
Solution Approach 1:
The image capture device is designed to serve multiple functions: it captures both traditional authentication images and specialized biometric data (retinal patterns, fingerprint images, facial recognition data) using the same hardware component. This eliminates the need for separate dedicated biometric sensors, reducing hardware complexity while maintaining authentication security.
Solution Approach 2:
The system merges the functionality of multiple specialized biometric devices (retinal scanner, fingerprint reader, facial recognition camera) into a single image capture device. By combining these functions, the system reduces the number of components needed, lowering manufacturing costs and simplifying device assembly while maintaining comprehensive biometric authentication capabilities.
Data Source
AI summary
A user authentication system includes an image capture device and a controller communicatively coupled to the image capture device. The controller receives first image data associated with user identification information and generates a first set of biometric data based on the first image data. The controller also receives second image data associated with a first user action in response to the first set of biometric data approximately matching a first set of authenticated biometric data. The controller further generates a second set of biometric data based on the second image data and receives third image data associated with a second user action. The controller also generates a third set of biometric data based on the third image data. The controller further grant access to a user account in response to the second and third sets of biometric data approximately matching second and third sets of authenticated biometric data, respectively.


