Biometric Image Distortion Correction via Calibration Coefficients
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Solution Overview
Problem
Biometric image sensors face distortion issues due to changes in distance and tilt between the sensing surface and the image sensor, leading to inaccurate user authentication and identification.
Innovation Solution
A method involving a biometric sensing device that acquires first sensor data to generate a biometric image, and second sensor data during the display of a calibration image, which is used to correct distortions in the biometric image by determining correction coefficients based on the calibration image's patterns and features, thereby generating a corrected biometric image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the sensing surface is placed close to the image sensor to improve biometric image quality, then the image resolution is improved, but distortion occurs due to changes in distance and tilt between the sensing surface and the image sensor
Solution Approach 1:
The system performs preliminary calibration by capturing an calibration image through the sensing surface before actual biometric scanning. This calibration image is used to pre-determine correction coefficients that compensate for optical path distortions. By performing this calibration action in advance, the system establishes a reference framework that corrects subsequent biometric images, allowing the sensing surface to be placed close to the image sensor for high resolution while maintaining image accuracy through the pre-established correction model
Solution Approach 2:
The system changes the parameter of the sensing surface configuration by making it flexible rather than rigid. This flexible sensing surface can adapt to the optical requirements of the image sensor, maintaining optimal distance and alignment while minimizing distortion. The flexibility allows the sensing surface to conform to the optical path, enabling close placement for high resolution imaging without the rigid constraints that would cause distortion
2Measurement precision
If a flexible sensing surface is used to improve contact with the input object, then sensing accuracy is improved, but distortion occurs due to changes in distance and tilt
Solution Approach 1:
The system performs preliminary calibration by capturing an calibration image through the sensing surface before actual biometric scanning. This calibration image is used to pre-determine correction coefficients that compensate for optical path distortions. By performing this calibration action in advance, the system establishes a reference framework that corrects subsequent biometric images, allowing the sensing surface to be placed close to the image sensor for high resolution while maintaining image accuracy through the pre-established correction model
Solution Approach 2:
The system uses feedback from the calibration image to dynamically adjust correction coefficients. The calibration process provides information about the actual optical path and any distortions present, which are then used to create a correction model. This feedback loop ensures that the flexible sensing surface operates at optimal contact while the system continuously compensates for any distortion through the calibration-based correction applied to biometric images
Data Source
AI summary
A system and method for correcting distortions within a biometric image. The biometric image is generated from first sensor data acquired from a sensing device. The first sensor data may include distortions generated in response to a change in distance or tilt between elements of a corresponding electronic device. Further, second sensor data corresponding to a calibration image is acquired from the sensing device. A corrected biometric image is generated based at least in part on the biometric image and the sensor data.