Circular QR Code Recognition for Secure Decoding Accuracy
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Solution Overview
Problem
Conventional two-dimensional codes lack appealing appearance, cover important data regions, and have poor security and universality in decoding, leading to compromised recognition and confidentiality.
Innovation Solution
A method for recognizing a two-dimensional code with a circular structure, featuring concentric circles and symmetrical code regions, enhancing appearance and security through encryption and even distribution of code elements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional recognition algorithms are used, then device complexity is reduced, but recognition accuracy deteriorates in complex environments
Solution Approach 1:
The recognition algorithm is divided into multiple processing stages: image acquisition, preprocessing (noise reduction, binarization), feature extraction (edge detection, contour finding), and recognition. This segmentation allows each stage to focus on specific tasks, improving overall accuracy while keeping individual processing steps manageable in complexity.
Solution Approach 2:
The patent introduces intermediate processing steps between image acquisition and final recognition, including adaptive thresholding and morphological operations. These intermediary processes serve as mediators that enhance the quality of input data for the recognition stage, thereby improving accuracy without requiring the final recognition algorithm to be overly complex.
2Measurement precision
If image preprocessing operations are performed, then recognition accuracy is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary image preprocessing operations such as noise reduction and binarization before the main recognition process. By preparing the image data in advance with appropriate filtering and thresholding, the subsequent recognition stage can operate more efficiently on already-optimized data, reducing overall processing time while maintaining high accuracy.
Solution Approach 2:
The preprocessing parameters such as threshold values and filtering strengths are dynamically adjusted based on the characteristics of the input image. This dynamic adaptation allows the system to optimize processing speed for simple images while applying more intensive preprocessing only when necessary for complex or degraded images, balancing accuracy and time loss.
3Measurement precision
If adaptive thresholding is used, then binarization accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent employs adaptive thresholding where the threshold value is not fixed but changes based on local image characteristics such as mean intensity or standard deviation in different regions. This parameter change approach allows the binarization process to accurately handle varying lighting conditions and image quality while using well-established algorithms that maintain reasonable computational complexity.
Data Source
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Figure 3A~3B
AI summary
A method for recognizing a two-dimensional code and a related apparatus are disclosed. The two-dimensional code includes an image region in the middle and a ring region surrounding the image region. The ring region includes a code region, a first spacing region, and a second spacing region. The code region includes a plurality of code elements. The code region includes a first code region and a second code region. The first spacing region and the second spacing region are arranged between the first code region and the second code region. The method for recognizing a two-dimensional code includes: An electronic device obtains a to-be-recognized two-dimensional code, and recognizes first information corresponding to the to-be-recognized two-dimensional code. Embodiments of this application provide a two-dimensional code pattern in which a code region is divided by a spacing region. This improves diversity and appearance of a two-dimensional code, and the two-dimensional code can be recognized based on the two-dimensional code pattern.