Face Identification Using Straight Line Detection for Impersonation Prevention
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Solution Overview
Problem
Conventional face identification systems can be deceived by users pretending to be someone else using pre-acquired face images, as they primarily rely on matching face images stored in databases without verifying the authenticity of the presented image.
Innovation Solution
An identification method and apparatus that captures a verifying image, performs face detection, detects the presence of straight lines outside the face image, and determines whether the image is authentic by comparing the number of straight lines with a threshold, thereby distinguishing between a real person and a displayed image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional face identification systems identify users according to face images stored in the database, then the identification process is simple and fast, but the system can be deceived by users pretending to be someone else with pre-acquired face images
Solution Approach 1:
The verification process is segmented into multiple independent analysis dimensions: face image matching, straight line detection in background, and curvature analysis of facial features. Each segment operates independently to evaluate different aspects of authenticity, with the final determination requiring all segments to pass their respective thresholds.
Solution Approach 2:
The system performs preliminary detection of straight lines and curved lines in the captured image before final identification. By pre-analyzing the background and facial feature characteristics, the system prepares authentication criteria in advance, allowing rapid final verification without increasing overall processing time significantly.
2Reliability
If the system analyzes the amount of straight lines outside the face image to detect impersonation, then the security against pretense is improved, but the processing complexity and time increase
Solution Approach 1:
The system applies different analysis methods to different regions of the image: straight line detection is applied specifically to the background region outside the face contour, while curved line analysis is applied to the facial feature region. This localized approach ensures that each region is analyzed by the most appropriate method without unnecessary processing elsewhere.
Solution Approach 2:
The system changes the analysis parameter from simple face matching to multi-parameter verification including straight line count, curved line count, and their ratio. By introducing multiple parameters with different thresholds, the system achieves more comprehensive verification while maintaining efficiency through standardized parameter comparison.
Data Source
AI summary
An identification method and an apparatus utilizing the method are disclosed. The disclosed method comprises capturing a first examining image at a first direction, performing a face detection process on the first examining image to identify a first face image in the first examining image, detecting a number of straight lines which are within a detecting image block of the first examining image but outside the first face image, comparing the number of straight lines with a quantity threshold to obtain a first judgment value, and judging if the first face image pass an examination at least according to the first judgment value.