Face Authentication Switching Detection Using Contour and Reflection Cues
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing face authentication systems struggle to detect switching of imaging targets during authentication, allowing unauthorized access through the use of photographs, which can bypass action detection and compromise security.
Innovation Solution
A face authentication method that calculates contour and reflection change degrees to detect switching of imaging targets by comparing consecutive images, using edge statistics and pixel value statistics to determine if the imaging target has changed, and incorporates action detection to verify the authenticity of the user.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If action detection is performed to prevent photograph impersonation, then authentication security is improved, but the system cannot detect switching of imaging targets during authentication
Solution Approach 1:
The system performs preliminary analysis of reflection characteristics and contour changes in images captured during authentication. By pre-calculating reflection change degrees and contour change degrees for consecutive images, the system can detect switching of imaging targets before final authentication decision is made, preventing photograph impersonation attempts.
Solution Approach 2:
The system continuously monitors image characteristics during authentication and provides feedback by comparing reflection characteristics and contour changes between consecutive images. When switching of imaging targets is detected through this feedback mechanism, the authentication process is terminated, ensuring security against photograph impersonation.
2Measurement precision
If reflection characteristics are used to detect imaging target switching, then switching detection accuracy is improved, but image blur reduces detection reliability
Solution Approach 1:
The system segments the detection task into two independent components: reflection characteristic analysis and contour change analysis. By separating these detection functions, the system can use reflection characteristics for fine-grained detection while relying on contour changes for robust detection under blur conditions, ensuring overall reliability.
Solution Approach 2:
The system changes the detection parameters dynamically based on image quality. When image blur is detected, the system increases reliance on contour change degree for switching detection, while using reflection change degree for clearer images. This adaptive parameter adjustment maintains detection reliability across varying image quality conditions.
3Measurement precision
If multiple images are captured for action detection, then authentication accuracy is improved, but processing time increases
Solution Approach 1:
The system performs preliminary switching detection using reflection and contour change analysis on images captured during the authentication process. By conducting this preliminary analysis in parallel with the main authentication flow, the system can quickly identify and reject photograph impersonation attempts without significantly increasing overall processing time.
Solution Approach 2:
The system extracts key detection features (reflection characteristics and contour changes) from the sequence of captured images, focusing computational resources only on these critical features rather than processing all image data. This extraction approach maintains high authentication accuracy while minimizing processing time.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
It is possible to easily detect switching of imaging targets in the middle of authentication. A face authentication device (10) acquires a plurality of time-series images (4a, 4b, 4c,...) from a camera (3). Next, the face authentication device (10) calculates a contour change degree representing a difference between contours included in face images respectively imaged in a first image (5) and a second image (6 and 7) that are consecutive in chronological order. Furthermore, the face authentication device (10) calculates a reflection change degree representing a difference between light reflection characteristics of the first image (5) and the second image (6 and 7). Then, the face authentication device (10) determines whether or not the switching of the imaging targets of the camera (3) has occurred, based on the contour change degree and the reflection change degree.