Biometric Skin Validation via Illuminated and Diffusion Zone Analysis
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Solution Overview
Problem
Current methods for validating real skin in biometric authentication are not robust against sophisticated fraud attempts and often require incompressible acquisition times, degrading ergonomics and being insufficient in certain cases.
Innovation Solution
A validation method using a light source emitting at least one wavelength, a sensor capturing images of both illuminated and diffusion areas, and an analysis module comparing intensity and gradient curves with reference curves to determine if an element is covered with real skin, enhancing robustness and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If image analysis methods are used to validate real skin, then the validation can be performed quickly, but the methods are not robust against careful fraud
Solution Approach 1:
The patent segments the skin surface into multiple zones (illuminated zone and peripheral diffusion zone) and analyzes light interaction characteristics in each zone separately. This segmentation allows the system to capture multiple physiological parameters simultaneously, improving fraud detection robustness without increasing acquisition time, as the entire analysis is performed on a single captured image.
2Reliability
If physiological parameters like sweating and pulse rate are measured, then fraud detection robustness is improved, but the acquisition time becomes incompressible and ergonomics degrade
Solution Approach 1:
The patent merges multiple validation approaches into a single image capture operation. By simultaneously analyzing light reflection, absorption, and diffusion characteristics in different zones from one image, the system obtains multiple physiological indicators (similar to sweating, pulse rate, oximetry) without requiring separate measurement steps, thus maintaining fraud detection robustness while keeping acquisition time compressible and ergonomics good.
3Device complexity
If only the illuminated zone is analyzed, then the analysis is simple and quick, but it is insufficient to detect certain fraud cases
Solution Approach 1:
The patent adds a spatial dimension to the analysis by including the peripheral diffusion zone in addition to the illuminated zone. This dimensional expansion captures light diffusion patterns that provide additional fraud detection information, enhancing reliability without significantly increasing analysis complexity, as the diffusion zone analysis uses similar image processing techniques applied to an additional region.
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 improves the robustness against fraud and reduces acquisition time by simultaneously analyzing reflection and diffusion patterns, making it difficult for decoys to mimic real skin characteristics, thus enhancing the reliability of biometric authentication.
Implementation Method 1
The luminous flux that illuminates the finger penetrates the finger and is diffused there. The light flux thus diffused is extracted from the finger at the level of a diffusion zone which is at a distance from the zone of the finger which is illuminated by the light source.
Implementation Method 2
the part of the light entering through the surface of the skin at the point of irradiation, diffused in the skin and exiting again from the surface of the skin
Data Source
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AI summary
The invention relates to a method of validation intended to validate that an element (10) is covered by a true skin and implemented by a validation device (100) comprising a light source (102) having at least one wavelength, a sensor (104), an analysis module (106) and a decision taking module (108), said validation method comprising: - a step of positioning in the course of which a surface of said element (10) is placed in front of the light source (102) and the sensor (104), - a step of illumination in the course of which the light source (102) illuminates the surface of said element (10), - a step of capture for capturing, by means of said sensor (104), for the or each wavelength, an image of said element (10) thus positioned which encompasses an illuminated zone of said element (10) illuminated directly by the light beam emitted by the light source (102) and a peripheral zone termed the diffusion zone of said element (10) which is peripheral to said illuminated zone, - a step of analysis in the course of which the illuminated zone and the diffusion zone of the or each image thus captured are analysed, and - a step of decision taking in the course of which the decision taking module (108) takes a decision regarding the fact that said element (10) is covered by a true skin as a function of the results of the analysis step.