Camera Face Feature Extraction for Identity Verification
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Solution Overview
Problem
Traditional person-identity document comparison methods are inefficient due to reliance on human judgment and require high-resolution images, leading to increased memory usage and transmission delays, which affect real-time performance and accuracy.
Innovation Solution
An authentication method and system that uses a camera to acquire multiple face images, select target face images based on preset conditions, compare them with ID images, and determine authentication success based on similarity thresholds, reducing delays and improving accuracy by processing face and document comparisons independently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution pictures are captured to ensure accuracy of person-document comparison, then measurement precision is improved, but memory occupied increases and transmission delay increases
Solution Approach 1:
The patent extracts and processes only the essential face features from the captured image rather than transmitting the entire high-resolution image. The camera device performs local processing to extract face information, which is then transmitted to the server for comparison with ID document data, significantly reducing transmission data volume and delay while maintaining comparison accuracy.
Solution Approach 2:
The patent segments the image processing task between the camera device and the server. The camera performs preliminary processing to extract face features, while the server performs the final comparison with ID document data. This segmentation allows high-resolution capture for accuracy while reducing the amount of data that needs to be transmitted.
2Measurement precision
If high-resolution pictures are captured to ensure accuracy of person-document comparison, then measurement precision is improved, but memory occupied increases
Solution Approach 1:
The patent extracts only the essential face features from the captured high-resolution image rather than storing or transmitting the entire image. The camera device performs local processing to extract face information, significantly reducing the memory required while maintaining the accuracy needed for person-document comparison.
3Reliability
If multiple face images are processed and compared with ID images, then reliability of authentication is improved, but device complexity increases
Solution Approach 1:
The patent segments the authentication process into multiple stages: the camera captures multiple face images and performs preliminary processing to extract face features, then the server performs comparison with ID document data. This segmentation distributes complexity across different devices, improving reliability through multiple comparisons while managing overall system complexity.
Solution Approach 2:
The patent processes multiple face images (excessive action) to improve authentication reliability. By capturing and comparing multiple images rather than relying on a single image, the system increases confidence in the authentication result, accepting the additional processing complexity as necessary for higher reliability.
Data Source
AI summary
An authentication method, system and a camera for person-identity document comparison are provided. The authentication method for person-identity document comparison includes: acquiring multiple face images; obtaining at least one target face image that meets a preset condition from the multiple face images (S101); receiving an ID image obtained by an ID reading support device (S102); comparing the ID image with each target face image to obtain a person-ID document similarity for each target face image respectively (S103); and, if the number of target face images with person-ID document similarities higher than a preset similarity threshold reaches a first preset number, determining that the authentication is successful (S104). The method achieves high real-time performance of person authentication through the person-ID document comparison.


