Hand Gesture Authentication With Integrated Biometric Verification
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Solution Overview
Problem
Existing gesture-based payment systems lack robust user authentication and gesture recognition, making them vulnerable to unauthorized operations by third parties.
Innovation Solution
An authentication system and method that utilizes biometric and gesture authentication by capturing and comparing hand gestures with pre-registered images, allowing users to associate personalized gestures with instructions, and integrating biometric data for enhanced security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If biometric authentication is implemented for gesture-based operations, then user authentication security is improved, but system complexity increases due to the need for preregistration and integration of multiple authentication methods
Solution Approach 1:
The patent combines biometric authentication and gesture authentication into a unified authentication system. The gesture image acquisition unit captures images that contain both biometric information (fingerprint, vein pattern, or facial features) and gesture information simultaneously. The authentication processing unit then performs both types of authentication by comparing the captured image against registered reference data, thereby merging multiple authentication functions into a single integrated process that improves security without proportionally increasing system complexity
Solution Approach 2:
The system performs preregistration of reference data containing both biometric and gesture information before actual authentication operations. During the preregistration phase, the system captures and stores reference images that include both the user's biometric characteristics and their authorized gestures. This preliminary action ensures that when authentication is needed, the system can directly compare captured images against pre-prepared reference data, streamlining the authentication process and reducing operational complexity
2Measurement precision
If gesture authentication is added to biometric authentication, then authentication accuracy is improved, but the difficulty of detecting and measuring gestures increases
Solution Approach 1:
The authentication processing unit segments the authentication process into distinct components: biometric authentication and gesture authentication. By extracting and analyzing biometric information (such as fingerprint patterns, vein structures, or facial features) and gesture information (hand shape, finger positioning, movement trajectory) separately from the same captured image, the system can apply specialized recognition algorithms to each component. This segmentation allows for high-precision authentication while simplifying the detection process, as each type of information can be processed using dedicated techniques rather than attempting to analyze the entire image simultaneously
Data Source
AI summary
An authentication method includes acquiring, by one or more processors, one or more gesture images. Each of the gesture images depicts a hand of a user making a gesture that has been determined by the user. The authentication method includes associating, by the one or more processors, a gesture depicted in each of the one or more gesture images with one instruction selected by the user from multiple instructions. The authentication method includes acquiring, by the one or more processors, an authentication image. The authentication image depicts the hand of the user making the gesture. The authentication method includes executing, by the one or more processors, biometric authentication and authentication of the gesture depicted in the authentication image by comparing the authentication image with the one or more gesture images. The authentication method includes outputting, by the one or more processors, the one instruction associated with the authenticated gesture.