Biometric Authentication Illumination Masking
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Solution Overview
Problem
Biometric authentication systems face challenges due to fluctuations in biological features and displacement of presentation positions, which affect the accuracy of installation environment surveys.
Innovation Solution
A biometric authentication device that includes an illumination unit, an image sensor, an acquisition unit, and a detection unit to capture and analyze images with and without illumination, using a mask to isolate the target area and detect external light, thereby minimizing the influence of biological feature fluctuations and improving survey accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the biometric authentication device uses the user's biological feature to survey the installation environment, then the survey can be performed using actual biometric data, but the result is subject to influence from fluctuation of the biological feature
Solution Approach 1:
The patent segments the captured image into multiple regions: a first region containing the biological feature and a second region surrounding it. By separately analyzing light in these regions, the system isolates the biological feature area from the installation environment area, allowing independent assessment of each without mutual interference.
Solution Approach 2:
The patent extracts the biological feature region from the overall captured image by identifying the first region where the biological feature is located. This extraction allows the system to separate the biological feature data from the installation environment survey data, eliminating the contamination effect where biological fluctuations affect environment assessment.
2Adaptability or versatility
If the device captures images to survey installation environment, then environment assessment can be performed, but biological feature fluctuations cause errors in the survey results
Solution Approach 1:
The patent applies different analysis methods to different regions of the captured image. The first region (biological feature) and second region (installation environment) are analyzed separately with region-specific processing, allowing the environment survey to focus only on appropriate areas while excluding biological feature fluctuations from the assessment.
Solution Approach 2:
The patent introduces a mask as an intermediary tool to identify and delineate the first region containing the biological feature. This mask serves as a mediator that separates the biological feature area from the installation environment area, enabling the detection unit to accurately identify external light in the second region without interference from the first region.
3Productivity
If the system uses captured images for both authentication and environment survey, then resource utilization is efficient, but discrimination between authentication area and other areas becomes difficult
Solution Approach 1:
The patent divides the captured image into distinct first and second regions, enabling simultaneous authentication and environment survey from a single image capture. This segmentation allows the system to process different areas for different purposes without requiring separate capture operations.
Solution Approach 2:
The mask acts as an intermediary that clearly demarcates the first region (authentication area) from the second region (environment survey area). This intermediary structure simplifies the discrimination task by providing explicit spatial boundaries between areas that serve different functions.
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
The solution enhances the accuracy of biometric authentication by correctly discriminating the authentication area from others and providing a more reliable assessment of the installation environment, reducing errors caused by biological feature fluctuations.
Implementation Method 1
an image sensor configured to obtain a first captured image by capturing the target illuminated by the illumination unit
Data Source
AI summary
A biometric authentication device that authenticates a user using biological features of the user, the biometric authentication device includes: an illumination unit configured to illuminate a target which represents the biological features; an image sensor configured to obtain a first captured image by capturing the target illuminated by the illumination unit, and obtain a second captured image by capturing the target not illuminated by the illumination unit; an acquisition unit configured to acquire from a storage unit a mask which has a target area approximating the shape of the target in the first and second captured images obtained by the image sensor; and a detection unit configured to detect light other than illumination light illuminated by the illumination unit based on the mask acquired by the acquisition unit and at least one of the first and second images.