Friction-Ridge Surface Reconstruction via Sub-Surface Papilla Mapping
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Solution Overview
Problem
Biometric identification systems face challenges when the friction-ridge surface of the skin is damaged, either accidentally or intentionally, as they rely solely on undamaged skin surfaces for identification, which can lead to ineffective or impossible identification.
Innovation Solution
The method involves mapping sub-surface dermal papillae structures to predict and reconstruct the friction-ridge surface pattern, using energy transducers like ultrasound or infrared to detect impedance differences and generate an image representative of the undamaged friction-ridge surface, allowing for identification even with superficially damaged skin.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional friction-ridge surface imaging is used for biometric identification, then identification accuracy is maintained for undamaged skin, but identification becomes impossible when the friction-ridge surface is damaged
Solution Approach 1:
The patent transitions from two-dimensional surface imaging to three-dimensional sub-surface imaging by detecting dermal papillae structures beneath the skin surface. This dimensional shift allows the system to access identification data from deeper tissue layers that remain intact even when the surface friction-ridge pattern is damaged or destroyed.
Solution Approach 2:
The patent introduces dermal papillae structures as an intermediary layer between the damaged epidermal friction-ridge surface and the identification system. These sub-surface structures serve as a stable, damage-resistant mediator that preserves unique identification patterns even when the surface layer is compromised.
2Ease of operation
If only the friction-ridge surface is used for identification, then the system is simple to operate, but it fails when the surface is intentionally or accidentally damaged
Solution Approach 1:
The patent changes the imaging parameter from surface-level optical reflection to sub-surface structural detection using ultrasound or optical coherence tomography. This parameter shift enables the system to penetrate through damaged surface layers and capture identification data from the more stable dermal papillae structures beneath.
3Reliability
If sub-surface dermal papillae mapping is implemented, then identification is possible with damaged skin, but device complexity increases
Solution Approach 1:
The patent replaces complex mechanical surface contact methods with non-contact or minimal-contact energy-based imaging systems. Ultrasound waves or optical coherence tomography substitute for traditional mechanical fingerprint sensors, enabling sub-surface imaging without requiring direct physical contact with the potentially contaminated or damaged skin surface.
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
This approach enables accurate identification by predicting the friction-ridge surface from sub-surface tissue features, providing a reliable method for biometric recognition even when the skin surface is damaged, enhancing security and usability by utilizing underlying physiological structures.
Implementation Method 1
Differences in ultrasonic impedance allows for an ultrasound system to differentiate between the various physiological parts of the skin, including the papillae
Implementation Method 2
differences in tissue optical opacity and color allow for imaging with optical and infrared techniques
Implementation Method 3
Differences in conductivity may allow for imaging with radio frequency and capacitance techniques
Implementation Method 4
A fraction of the energy pulse may be reflected whenever there is a change in impedance. The larger the change in impedance, the larger the fraction of energy reflected
Data Source
AI summary
A method of creating a friction-ridge image is disclosed. An energy transducer is aimed at a body part having skin. The transducer is used to obtain information about the papillae beneath an outer surface of the skin. The information about the papillae is used to obtain information about valleys between the papillae, and a friction-ridge image having friction-ridge valleys that correspond with the valleys between the papillae is created.