Anisotropically micro-structured code pattern recognition area determination method, apparatus, device and medium
By determining the target outline and scanning area in the micro-coded image, the problem of users having difficulty recognizing irregular coded images is solved, thus improving the recognition accuracy and efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- QUANTUM CLOUD CODE (FUJIAN) TECH CO LTD
- Filing Date
- 2026-04-20
- Publication Date
- 2026-07-21
AI Technical Summary
In existing technologies, micro-coded images are difficult for users to identify due to their irregular coding characteristics, resulting in low recognition. This is especially true in scenarios with high concealment and anti-copying capabilities, where ordinary users have even less knowledge of them.
By acquiring the original image of the code image label to be identified, all graphic contours are determined and the target contour where the micro-coded code image is located is found. The scanning area is determined based on the shortest distance from the center of the micro-coded unit contour to the target contour. The number of micro-coded units in the scanning area is counted, and the area with the largest number is taken as the target recognition area.
It improves the recognizability of micro-coded code images, helps users to scan and identify correctly, and enhances the recognition and decoding effect.
Smart Images

Figure CN122433764A_ABST