Fingerprint Sensor Base Image Library Filtering for Shading Interference
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Solution Overview
Problem
Existing base image libraries for fingerprint sensors contain images with shading interference, leading to low identification accuracy due to incomplete shading interference detection, which fails to filter out all background-containing images.
Innovation Solution
A method to optimize the base image library by determining differences between base images, predicting shading interference, and deleting images with interference, ensuring only interference-free images are retained.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If shading interference detection is performed on base images, then base images with shading interference can be identified, but it is impossible to filter out all background-containing base images, resulting in base images with shading interference being stored in the library
Solution Approach 1:
The patent performs preliminary actions by calculating difference images between the first base image and multiple second base images before final determination. This preliminary comparison process reveals shading interference patterns that would not be detectable through single-image analysis, enabling more reliable filtering of background-containing images from the library.
Solution Approach 2:
The patent introduces difference images as an intermediary element between the base images and the detection algorithm. These difference images serve as a mediator that highlights shading interference regions, allowing the system to identify and filter problematic base images more effectively without directly analyzing the complex original images.
2Quantity of substance
If base images with shading interference are stored in the library, then the library maintains a larger collection of images, but fingerprint identification accuracy decreases due to incomplete correction
Solution Approach 1:
The patent extracts and removes base images with shading interference from the library through the difference image comparison process. By identifying and excluding these problematic images, the system maintains a cleaner, more accurate library that improves fingerprint identification performance while still maintaining adequate library size through the retention of valid base images.
Data Source
AI summary
Embodiments of the present disclosure provide a method for optimizing a base image library, an apparatus for optimizing a base image library, an electronic device, and a storage medium. The method includes: determining a first base image and a plurality of second base images from the base image library; calculating a difference between the first base image and each of the plurality of second base images respectively, and obtaining a plurality of residual images based on the calculation result; and deleting, in response to determining based on the plurality of residual images that shading interference is present in the first base image, the first base image from the base image library. The method for optimizing a base image library provided in the present disclosure can delete base images with shading interference from the base image library, and can improve the accuracy of fingerprint identification by the fingerprint sensor.