Two-Dimensional Code Segmentation for Image Integration
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Solution Overview
Problem
The existing methods for two-dimensional codes face inefficiencies in identification due to image insertion, which can block code elements and disrupt the pattern, leading to reduced error correction needs and compromised integrity.
Innovation Solution
The proposed solution involves dividing a two-dimensional code region into non-overlapping image and encoding regions, allowing the image to be inserted without obstructing code elements, thereby maintaining the code's integrity and improving identification efficiency by isolating the image region from the encoding region.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If an image is inserted into a two-dimensional code, then the code can be more visually appealing or informative, but the image may block code elements and disrupt the pattern, leading to reduced error correction needs and compromised integrity
Solution Approach 1:
The two-dimensional code is divided into distinct functional zones: an image insertion area where images can be placed without affecting code elements, and a code element area that maintains the original pattern integrity. This segmentation allows images to be embedded while preserving the reliability of the code structure.
2Adaptability or versatility
If an image is inserted into a two-dimensional code, then the code can be more visually appealing or informative, but the image may block code elements and disrupt the pattern, leading to reduced error correction needs and compromised integrity
Solution Approach 1:
The two-dimensional code is divided into distinct functional zones: an image insertion area where images can be placed without affecting code elements, and a code element area that maintains the original pattern integrity. This segmentation allows images to be embedded while preserving the reliability of the code structure.
3Quantity of substance
If code elements are distributed throughout the entire two-dimensional code region, then maximum data storage capacity is achieved, but image insertion becomes difficult without blocking code elements
Solution Approach 1:
The two-dimensional code is divided into distinct functional zones: an image insertion area where images can be placed without affecting code elements, and a code element area that maintains the original pattern integrity. This segmentation allows images to be embedded while preserving the reliability of the code structure.
Solution Approach 2:
The code structure transitions from a uniform two-dimensional distribution of code elements to a zoned structure with separate functional areas. This dimensional reorganization creates dedicated space for images while maintaining code element density in specific regions, resolving the conflict between storage capacity and image insertion capability.
Data Source
AI summary
A method of an information processing device is provided. The method includes: dividing, by the at least one processor, a predetermined region used for generating a two-dimensional code into an image region and an encoding region that does not overlap the image region; setting, by the at least one processor, a first image in the image region; and setting, by the at least one processor, at least one code element used for storing data information in the encoding region.


