Symbol Border Identification Using Decoded Reference Positions
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Solution Overview
Problem
Conventional symbol border identification is susceptible to noise interference, such as dirt and uneven printing, which can lead to incorrect text recognition region setting and increased processing time in symbol reading devices.
Innovation Solution
A symbol border identification device that decodes the symbol to identify reference positions and profile information, using this information to set scanning lines and determine border elements, thereby reducing noise influence and processing time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional symbol border identification methods are used, then the border can be identified, but the identification is susceptible to disturbing noise such as dirt, uneven printing, and edge noise
Solution Approach 1:
The patent performs preliminary decoding of the symbol to identify reference positions and profile information before border identification. This preliminary action provides a foundation of accurate structural information that guides subsequent border detection, making the process less susceptible to noise. The decoding step extracts inherent structural characteristics that are immune to surface-level disturbances.
Solution Approach 2:
The patent introduces profile information as an intermediary element between the raw image and the border identification process. This profile information, derived from decoded structural data, acts as a mediator that filters out noise while preserving essential border characteristics. The profile information serves as a reference framework that guides accurate border detection despite disturbing factors.
2Measurement precision
If conventional border identification methods are used, then the border can be detected, but the text recognition region cannot be properly set leading to failed or delayed text recognition
Solution Approach 1:
The patent performs preliminary decoding to establish reference positions and profile information before border identification. This preliminary structural analysis creates an accurate framework that enables precise text recognition region positioning, preventing failed recognition attempts and reducing the need for reprocessing, thereby saving time.
Solution Approach 2:
The patent uses profile information from decoded structural data as feedback to guide border identification and text recognition region setting. This feedback mechanism ensures accurate positioning by continuously referencing the decoded structural framework, preventing errors that would require time-consuming reprocessing.
3Reliability
If conventional border identification methods are used, then the border can be identified, but the processing time is increased
Solution Approach 1:
The patent performs preliminary decoding of the symbol to extract reference positions and profile information before conducting border identification. This preliminary action organizes the data structure in advance, enabling faster and more accurate border detection by working with pre-processed structural information rather than raw image data.
Solution Approach 2:
The patent segments the border identification process into distinct stages: decoding to obtain reference positions, extracting profile information, and then identifying borders based on this structured data. This segmentation allows each stage to be optimized independently and enables parallel processing where applicable, improving overall processing efficiency while maintaining accuracy.
Data Source
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AI summary
The present invention makes the identification of a border of a symbol less susceptible to the influence of disturbing noise, and reduces processing time. A symbol border identification device (5) which: identifies a reference position of an element constituting a symbol from decoding results of the symbol; determines whether a region is within the symbol on the basis of profile information that relates to the region and that is based on the reference position; and identifies a border of the symbol on the basis of a border element candidate identified in accordance with the determination result.