Fingerprint Recognition Processing for Foreign Matter Pattern Exclusion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing fingerprint recognition technologies fail or pose security risks when foreign matters such as hairlines, copper wires, or screen cracks interfere with fingerprint collection, leading to input failures and unauthorized unlocking.
Innovation Solution
A method that identifies and marks patterns of foreign matters in fingerprint images, updating the fingerprint template library to exclude these patterns, ensuring valid fingerprints are recognized and unlocking is secure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If foreign matter patterns are included in fingerprint template library, then false recognition may occur leading to security risks, but if foreign matter patterns are excluded, then valid fingerprints with foreign matter interference cannot be recognized
Solution Approach 1:
The patent extracts and removes foreign matter patterns from fingerprint images through pattern recognition and elimination processing. The system identifies foreign matter patterns, eliminates them from the fingerprint image to generate a cleaned fingerprint template, and stores only the valid fingerprint information in the template library, thereby preventing false recognition while preserving valid fingerprint data
Solution Approach 2:
The patent performs preliminary foreign matter detection and elimination processing on fingerprint images before they are stored in the template library. By pre-processing the images to remove foreign matter patterns, the system ensures that only clean fingerprint templates are stored, preventing future false recognition issues
2Reliability
If foreign matter patterns are marked and eliminated from fingerprint images, then false recognition is prevented, but the complexity of fingerprint processing increases
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors fingerprint recognition results and adjusts its foreign matter detection and elimination processing accordingly. The system learns from recognition outcomes to improve its ability to distinguish between valid fingerprint features and foreign matter patterns, optimizing processing efficiency while maintaining high security
Data Source
AI summary
This application discloses a fingerprint recognition method and an electronic device, and relates to the terminal field. The method includes: obtaining, by an electronic device, fingerprint images in response to a press operation performed by a user on a fingerprint collection region of the electronic device, and determining image types of the fingerprint images, where the image types include a first type of images, and the first type of images are fingerprint images including a pattern of a foreign matter; and marking the first type of images when it is determined that the fingerprint images include the first type of images, and updating a first type of marked images to a fingerprint template library of the electronic device.