Contactless Hand Recognition Using Thermal Imaging
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Solution Overview
Problem
Current hand recognition systems are invasive, unsanitary, slow, and susceptible to spoofing, as they require physical contact and do not allow for quick or distant authentication, leading to potential misidentification and security concerns.
Innovation Solution
A contactless hand recognition system using a video, infrared, or thermal camera to capture hand geometry images, reducing them to templates for comparison with reference templates, enabling authentication on the move and at a distance, while incorporating liveness verification and personal knowledge elements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If a contactless hand recognition system is implemented, then sanitation and speed are improved, but measurement precision and reliability may worsen due to lack of physical contact and potential spoofing
Solution Approach 1:
The patent uses an optical intermediary (camera system capturing hand images) to replace direct physical contact between the user and the recognition device. This intermediary allows contactless measurement while maintaining system reliability through multiple verification parameters including hand geometry, thermal signature, and liveness detection
Solution Approach 2:
The system changes from measuring only geometric parameters (in contact systems) to measuring multiple parameters simultaneously including geometry, thermal signature, and liveness indicators. This multi-parameter approach compensates for the lack of physical contact and enhances both sanitation and reliability
2Productivity
If a contactless hand recognition system is implemented, then authentication speed is improved, but measurement precision may worsen due to hand movement and positioning variability
Solution Approach 1:
The system transitions from static hand positioning (requiring users to hold their hand in a fixed position) to dynamic capture capabilities that can process hand images during natural movement. The system adapts to hand motion through rapid sequential imaging and computational methods that extract geometric features from moving hands
Solution Approach 2:
The system performs preliminary actions by capturing multiple hand images in rapid succession before final recognition, allowing for motion compensation and selection of the best quality image for measurement, thereby maintaining precision while enabling faster authentication
3Measurement precision
If traditional contact hand recognition is used, then measurement precision is maintained, but ease of operation and productivity worsen due to queuing and stopping requirements
Solution Approach 1:
The patent replaces the mechanical contact-based measurement system with an optical field-based system. Instead of physical contact with sensors, the system uses light fields (visible, infrared, or thermal) to capture hand characteristics, eliminating the need for users to physically interact with the device while maintaining measurement capability
4Ease of operation
If contactless imaging is used, then ease of operation is improved, but susceptibility to spoofing increases due to lack of liveness testing
Solution Approach 1:
The system employs periodic action through rapid sequential image capture and thermal signature monitoring. By capturing multiple images over a short time period and analyzing thermal changes, the system can detect liveness indicators and distinguish real hands from static spoofing attempts
Solution Approach 2:
The system uses feedback through liveness detection mechanisms that analyze thermal signatures and hand movement patterns. This feedback loop verifies that the captured hand is alive and moving naturally, providing security against spoofing while maintaining contactless operation
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables rapid, sanitary, and secure authentication and identification by allowing users to verify their identity without physical contact, reducing the risk of misidentification and spoofing, and enhancing security with a three-factor authentication system.
Implementation Method 1
A contactless hand recognition system using a video, infrared, or thermal camera to capture hand geometry images
Data Source
AI summary
A method and apparatus is provided for Contactless Hand Recognition (CHR) for positive identification of cooperative individuals seeking access to physical, logical, or informational systems. Contactless Hand Recognition (CHR) is based on a novel technique and apparatus that rapidly and contactlessly captures a livescan hand geometry video image with a visible wavelength, infrared, or thermal camera of a person desiring access, then reduces the image to a template, compares the livescan template to a reference template, and determines if there is a match. Contactless Hand Recognition (CHR) is a significant advancement over current state-of-the-art hand recognition systems because authentication is done contactlessly while on the move, and at a distance, while simultaneously verifying liveness. It can also be combined with a personal knowledge process to include the use of a Personnel Identification Number (PIN), a secret contactless sign (SCS), or unique hand/finger position biometrics known only to the user. The CHR invention offers the possibility for users to have a rapid, fully contactless three-factor system of authentication based on contactless tokens, biometrics, and personal knowledge identification signs.