Biometric Collection Device Using Image Splicing for Clarity
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Solution Overview
Problem
Electronic devices face inefficiencies in biometric data collection due to small collection areas, requiring multiple operations and resulting in low efficiency and poor image clarity, which affects the quality of biometric templates.
Innovation Solution
A collection method and device that utilize target configuration parameters to obtain clear images by guiding the operation body to move within the collection area, determining target images based on clarity and splicing them to generate a biometric verification template, improving efficiency and image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If the collection area is made small, then the device complexity and space occupation are reduced, but the efficiency of biometric data collection deteriorates and image clarity becomes poor
Solution Approach 1:
The patent divides the biometric collection process into multiple segments: obtaining multiple images at different positions, selecting target images based on clarity criteria, and splicing them to generate the final template. This segmentation allows the small collection area to accumulate sufficient biometric data through multiple captured images rather than relying on a single large-area capture.
Solution Approach 2:
The patent transitions from a single-point collection approach to a multi-position collection approach by introducing spatial dimensionality. The operation body is guided to move through different positions in the collection area, and images are captured at these different positions. This dimensional expansion compensates for the limited collection area by gathering data from multiple spatial locations.
2Quantity of substance
If the operation body presses multiple times on the collection area, then more biometric information can be obtained, but the time required for data collection increases and efficiency decreases
Solution Approach 1:
The patent performs preliminary actions by guiding the operation body to move to specific positions and press at predetermined locations before the actual biometric collection begins. The system pre-establishes the collection pattern and guides the user through the movement trajectory, so that when the operation body presses, the images are captured at the optimal positions and times, reducing the total time needed compared to random or repeated pressing.
Solution Approach 2:
The patent ensures continuity of useful action by maintaining a continuous guidance process where the operation body moves smoothly from one position to another according to the guided trajectory. The system continuously captures images during the movement and pressing process, ensuring that biometric data is collected continuously without unnecessary interruptions or repetitions, thereby reducing total collection time while obtaining sufficient information.
3Measurement precision
If multiple images are obtained from movement, then image clarity and template quality improve, but the device complexity and control requirements increase
Solution Approach 1:
The patent implements feedback by evaluating the clarity of each captured image and using this evaluation to determine whether the image is suitable for template generation. The system provides feedback to the user through guidance information, and the image processing module uses clarity evaluation results to select target images and generate the final template. This feedback mechanism ensures high image quality while managing processing complexity through selective processing of only the necessary images.
Solution Approach 2:
The patent applies parameter changes by adjusting the collection process parameters based on real-time conditions. The system changes parameters such as guidance trajectory, capture frequency, and image selection criteria to optimize the balance between image clarity and processing complexity. By dynamically adjusting these parameters, the system achieves high measurement precision without excessive device complexity.
Data Source
AI summary
A collection method includes obtaining, through a collection area of a collection device, a plurality of collected images based on one or more target configuration parameters. The one or more target configuration parameters, when applied to the collection device, enable the collection device to obtain an image that meets a clarity condition when an operation body moves in the collection area. The method further includes determining target collected images based on the plurality of collected images, and generating a template for biometric verification of the operation body by splicing the target collected images.