Zonal Fingerprint Recognition via Sectional Image Stitching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional fingerprint recognition methods face challenges with incomplete images due to finger displacement and uneven force during capture, particularly in zonal fingerprint image capture devices, which require large storage capacity and increase production costs for small-scale embedded devices.
Innovation Solution
A sectional image recognition method that captures fingerprint image blocks of a fixed size, converts them into minutiae block images, and stitches these images to generate a complete minutiae image for recognition, eliminating the need for large storage capacity and allowing stationary finger pressing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If a zonal fingerprint image capture device is used to capture complete fingerprint image at once, then recognition speed is improved, but storage capacity requirement increases
Solution Approach 1:
The patent divides the fingerprint image into multiple blocks and processes each block separately. The image capture device captures fingerprint image blocks sequentially rather than loading the entire image at once, converting each block to minutiae data immediately. This segmentation approach enables fast recognition while minimizing storage requirements, as only small block data needs to be held in memory at any given time.
2Quantity of substance
If a linear sensor module is used to capture fingerprint image, then storage capacity is reduced, but image completeness deteriorates due to finger displacement
Solution Approach 1:
The patent captures the fingerprint image in multiple blocks sequentially, allowing the user to press their finger stationary on the sensor. Each block is captured and processed immediately, eliminating the need for the user to slide their finger as required by linear sensors. This approach maintains image completeness and reliability while keeping storage requirements low.
3Measurement precision
If zonal fingerprint image capture device is adopted, then recognition accuracy is improved, but production cost increases for small-scale embedded devices
Solution Approach 1:
The patent implements a segmented processing approach where the fingerprint image is divided into blocks that are captured and processed sequentially. This allows the use of simpler, lower-cost image capture hardware for small-scale embedded devices while maintaining recognition accuracy through the block-by-block processing methodology. The system achieves zonal recognition capabilities without requiring expensive high-capacity storage hardware.
Data Source
AI summary
A sectional image recognition method and a zonal recognition device are applied in a zonal fingerprint recognition device with small storage capacity. The method includes setting an image selection frame; capturing a corresponding fingerprint image block according to the image selection frame; executing a minutiae conversion program on the fingerprint image block to generate a minutiae block image corresponding to the fingerprint image block; repeating the foregoing steps until minutiae block image corresponding to all fingerprint image blocks are obtained; then executing an image stitching program on the corresponding minutiae block images according to acquisition sequence of the fingerprint image blocks for generating a minutiae image corresponding to the fingerprint image; executing a fingerprint recognition program on the minutiae image; and according to a recognition result acquired by the fingerprint recognition program, sending, by a zonal fingerprint recognition device, a corresponding response message to inform users of the recognition result.