Hand Biometric Authentication Using Multi-Camera 3D Shape Analysis
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Solution Overview
Problem
Conventional biometric recognition methods using mobile devices face challenges in accuracy, hardware requirements, sanitation issues, and forgery, particularly with facial, fingerprint, and iris recognition, necessitating a non-contact method for high-security hand-based authentication.
Innovation Solution
A user authentication apparatus that captures hand images using mobile and high-resolution stationary cameras, extracts biometric information from the back and palm, and authenticates users based on normalized and weighted features such as skin patterns, finger ratios, and wrinkle patterns, without requiring special hardware.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If facial recognition is used, then authentication can be performed without contact, but accuracy is not satisfactory
Solution Approach 1:
The patent replaces contact-type mechanical sensors with optical camera-based detection systems. Instead of using fingerprint scanners or vein sensors that require physical contact, the invention uses standard camera modules to capture hand images and extract biometric features optically, achieving both contactless operation and improved accuracy through multiple feature extraction points
Solution Approach 2:
The patent transitions from 2D facial recognition to 3D hand shape analysis by detecting multiple key points (finger tips, knuckles, wrist) and calculating spatial relationships, distances, and angles between them. This dimensional approach provides more authentication dimensions and improves accuracy while maintaining contactless operation
2Measurement precision
If fingerprint recognition is used, then authentication accuracy is improved, but special hardware is required
Solution Approach 1:
The patent makes the camera module perform multiple functions: it captures hand images for biometric authentication, detects skin color for hand area segmentation, and provides illumination information. By making the camera multi-functional, the system achieves fingerprint-level accuracy without requiring separate fingerprint scanner hardware
Solution Approach 2:
The system uses the device's existing camera and processing capabilities to perform biometric authentication independently, without requiring external specialized hardware. The camera serves itself to capture both the visual information needed for hand shape analysis and the skin tone information needed for accurate hand area detection
3Measurement precision
If contact-type sensors are used, then biometric information can be acquired, but sanitation and noise problems occur
Solution Approach 1:
The patent replaces contact-type mechanical sensors (fingerprint scanners, vein sensors) with non-contact optical camera-based detection. This substitution eliminates the need for physical contact between the sensor and user, thereby solving sanitation concerns and reducing noise from physical interaction while maintaining biometric information acquisition capability
4Ease of operation
If conventional biometric methods are used, then authentication can be performed, but forgery is possible
Solution Approach 1:
The patent moves from 2D biometric features (fingerprint patterns, facial images) to 3D hand shape analysis by detecting multiple key points in space and calculating their spatial relationships, distances, and angles. This dimensional transition creates more complex biometric data that is harder to forge while maintaining ease of operation
Solution Approach 2:
The patent combines multiple types of biometric information (hand shape geometry, skin color distribution, relative positions of key points) into a composite authentication system. This multi-factor approach creates a more robust authentication mechanism that resists forgery better than single-factor systems while remaining easy to operate
Data Source
AI summary
Disclosed herein is a user authentication apparatus that captures images of the back and/or the palm of a hand using both a mobile camera, such as a smart phone or a smart pad, and a high-resolution stationary camera embedded in a PC, extracts various types of biometric information from the captured images, registers the extracted biometric information, and authenticates a new image when the new image is input. The user authentication apparatus includes a hand area detection unit for detecting a hand area from an input hand image, a hand area normalization unit for binarizing the detected hand area and normalizing the binarized hand area, a hand biometric information extraction unit for extracting unique hand biometric information from the normalized hand area, and a hand biometric information registration and authentication unit for registering the hand biometric information and authenticating the corresponding user based on the hand biometric information.