Word Code Generation via Visual Anomaly Encoding
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Solution Overview
Problem
QR codes are machine-readable but visually abrupt, disrupting the reading experience and requiring additional layout space, making them difficult to integrate into articles or prints, and are easily replaceable, leading to potential losses.
Innovation Solution
A method and device for generating word codes that integrate machine and human recognition by splitting target words into sequences, applying visual anomaly encoding to create machine-readable features while maintaining a readable word form, allowing multiple word codes with different machine visual features to be generated from the same words.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If QR codes are used for machine recognition, then machine readability is improved, but visual aesthetics and reading experience deteriorate
Solution Approach 1:
The patent merges machine recognition functionality with human readability by encoding information within recognizable Chinese characters. The word code system combines the structural integrity of traditional characters with hidden machine-readable data layers, allowing both human eyes and machines to process the information effectively.
Solution Approach 2:
The patent implements a nested structure where machine-readable code information is embedded within the visual structure of Chinese characters. The character structure serves as a container for multiple levels of information: visual appearance for human reading and encoded patterns for machine recognition, similar to nested dolls.
2Loss of information
If QR codes are used to provide additional information, then information capacity is improved, but layout space requirements increase
Solution Approach 1:
The patent makes Chinese characters multi-functional: they serve both as semantic units for human reading and as carriers for machine-readable encoded information. This universality eliminates the need for separate QR codes or additional layout spaces, as the same character space provides dual functionality.
3Adaptability or versatility
If QR codes are used for encoding, then coding range is improved, but ease of integration into articles and prints deteriorates
Solution Approach 1:
The patent applies different properties to different aspects of the character: the visual form maintains traditional Chinese character qualities for human reading, while hidden encoded patterns provide machine-readable properties. This local differentiation allows the system to maintain ease of integration into publications while providing extended coding capabilities.
Data Source
AI summary
A method for generating word code, a method and device for recognizing codes are provided, and they are falling within the field of machine visual recognition. The method for recognizing word code includes: acquiring an image containing word codes, and recognizing target words therein; splitting the target words according to the same rule, and then recognizing all visual anomaly split sequences, and performing determination on the word codes, if the word codes are generated on the basis of an encoding mechanism designed by a system, directly reading same and performing invoking; otherwise, invoking a pre-inputted target file of the word codes according to target word meaning sequence numbers and visual anomaly sequences numbers corresponding to the word codes.