Valuable Document Identification via Context-Constrained Feature Collaboration
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Solution Overview
Problem
Existing systems for identifying valuable documents rely on multiple sensors to collect characteristics but fail to consider context relations between them, leading to poor reliability and calculation redundancy due to the lack of validation and context constraints among characteristics.
Innovation Solution
The method involves detecting characteristics at different spatial scales to establish a context scene, using semantic constraints to extract feature values, and performing a collaborative sensing process that considers local competition and global cooperation among characteristics for accurate identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple sensors are employed to collect various characteristics of the valuable document, then the information completeness is improved, but the system reliability deteriorates due to lack of context constraint and mutual validation among characteristics
Solution Approach 1:
The patent implements a feedback mechanism where identification results of individual characteristics are used to validate and constrain each other. The system performs mutual validation among characteristics through context constraints, where the identification of one characteristic provides feedback that can confirm or reject the identification of other characteristics, thereby improving reliability while maintaining information completeness
Solution Approach 2:
The patent changes the identification approach from independent characteristic analysis to context-constrained collaborative identification. By introducing context constraints that define relationships between characteristics, the system transforms the identification parameters from isolated values to interdependent variables that validate each other, resolving the contradiction between information completeness and reliability
2Ease of operation
If separate identification processes are performed on each characteristic respectively, then the processing simplicity is improved, but the calculation efficiency deteriorates due to calculation redundancy
Solution Approach 1:
The patent merges separate identification processes into a unified context-constrained collaborative identification process. By combining individual characteristic identifications under a common framework of context constraints, the system eliminates redundant calculations while maintaining processing simplicity through standardized constraint application across all characteristics
3Device complexity
If identification results are integrated according to logic AND policy, then the decision rule simplicity is improved, but the identification accuracy deteriorates due to inability to validate and check characteristics mutually
Solution Approach 1:
The patent introduces context constraints as intermediary elements that mediate between individual characteristic identifications and the final integration decision. These constraints act as intermediate validation rules that check mutual consistency among characteristics before applying the logic AND policy, thereby improving identification accuracy without significantly increasing decision rule complexity
Data Source
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AI summary
A valuable document identification method and system are provided. The method comprises, detecting features in different space ranges of a valuable document, and obtaining multi-source information Ω={Xi,Xj,...,Xn}, wherein Xi∩Xj≠ϕ, or Xi∩Xj≠ϕ and Xi < = > Xj; labeling the space position of Xj with Xi according to semantic constraints of Xi and Xj, and obtaining position constraints Ψij(x, y); extracting a characteristic value fi from Xi, and extracting a characteristic value fj from Xj according to the position constrains Ψij(x, y); determining whether fi, fj meet the characteristic criteria of the valuable document, if yes, then receiving the valuable document, or else, rejecting the valuable document. The method enables improved reliability and robustness of the valuable document identification system.