Face Image Processing Apparatus for Stable Authentication
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Solution Overview
Problem
Existing face authentication techniques face challenges in selecting a suitable face image for authentication processing from a set of images captured under varying conditions, such as different directions and facial expressions, leading to instability in identity authentication.
Innovation Solution
An image processing apparatus that acquires pixel value patterns indicating the relationship between positions and pixel values in facial areas of multiple images and selects the appropriate image based on these patterns to ensure proper alignment and feature detection, thereby improving the stability of identity authentication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If face images are captured during authentication processing while the person is moving, then the authentication system can work in dynamic environments, but the face images may be captured in different directions and expressions making authentication unreliable
Solution Approach 1:
The system performs registration processing in advance to create a reference model of the person's face under controlled conditions. This preliminary action establishes a baseline that can be compared against authentication images, enabling reliable authentication even when the person is moving during the actual authentication process.
Solution Approach 2:
The system changes the parameter of image selection by using pixel value patterns to identify and select only those authentication images that match the registration characteristics. This filtering approach ensures that only suitable images (with proper facial orientation and expression) are used for authentication, maintaining reliability in dynamic environments.
2Adaptability or versatility
If multiple face images are captured to account for movement, then the system can handle dynamic authentication scenarios, but selecting the appropriate image becomes complex
Solution Approach 1:
The system replaces complex manual or rule-based image selection mechanisms with an automated image processing approach. By using pixel value pattern matching, the system automatically identifies and selects the most appropriate authentication image without requiring complex decision logic or manual intervention, thus reducing operational complexity while handling dynamic scenarios.
3Adaptability or versatility
If face images are captured in varying conditions, then the system can accommodate real-world authentication scenarios, but the precision of feature detection decreases
Solution Approach 1:
The system introduces pixel value patterns as an intermediary layer between the captured images and the feature detection process. These patterns serve as a filter or mediator that pre-qualifies images based on their overall pixel characteristics before detailed feature extraction occurs, ensuring that only images with sufficient quality and proper orientation undergo precise feature detection, thus maintaining precision in real-world conditions.
Data Source
AI summary
An image processing apparatus includes memory that stores a plurality of images acquired by image-capturing a face of a person; and a processor, coupled to the memory, configured to: acquire a pixel value pattern indicating a relationship between positions in a given direction and pixel values in an area having parts of the face of each of the plurality of images, and select an image to be processed from the plurality of images based on the pixel value patterns of the plurality of images.