Dynamic Document Identification Framework for Security Verification
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Solution Overview
Problem
Existing security document authentication systems face challenges in efficiently identifying and validating non-ICAO-compliant documents due to their rigid and static nature, which limits scalability and accuracy when processing high volumes of diverse document types.
Innovation Solution
A dynamic and extensible document verification framework that uses a hierarchical tree-like structure with classifiers, verifiers, and validators to identify and authenticate security documents, allowing for efficient traversal and selection of algorithms based on document characteristics, enabling quick identification and validation of multiple document types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a static document authentication system applies a fixed sequence of algorithms to identify security documents, then the system can process documents in a predetermined order, but the system becomes rigid and cannot efficiently adapt to large numbers of different document types
Solution Approach 1:
The patent transforms the static document identification system into a dynamic one by implementing a hierarchical tree structure where the traversal path is determined at runtime based on document characteristics. Instead of following a fixed algorithm sequence, the system dynamically selects which algorithms to apply and in what order, allowing it to adapt to different document types while maintaining organizational structure through the tree hierarchy.
Solution Approach 2:
The patent segments the document identification process into a hierarchical tree structure with multiple levels of classification. Each node in the tree represents a specific classification stage, and the system traverses through these segments based on document attributes. This segmentation allows the system to handle complexity by breaking down document identification into manageable, organized stages rather than a monolithic rigid process.
2Measurement precision
If manual selection of document type is required prior to processing, then the system can accurately identify document types, but the process becomes manually intensive and error-prone in high-volume environments
Solution Approach 1:
The patent implements self-service by enabling the system to automatically identify document types without manual intervention. The hierarchical tree structure with dynamic traversal allows the system to autonomously determine the appropriate classification path based on document characteristics, eliminating the need for operators to manually select document types while maintaining high identification accuracy.
Solution Approach 2:
The patent replaces the mechanical manual selection process with an automated computational system. Instead of relying on human operators to manually identify and select document types, the system uses algorithmic traversal of the hierarchical tree structure to automatically determine document types, thereby increasing productivity while maintaining or improving identification accuracy.
3Reliability
If a static algorithm sequence is used to identify security documents, then the system can follow a predetermined process, but significant processing time is required which is not suitable for high-volume document authentication
Solution Approach 1:
The patent applies preliminary action by pre-organizing the document identification algorithms into a hierarchical tree structure before runtime. The classification criteria and algorithm sequences are prepared in advance and structured in the tree, allowing the system to quickly traverse and identify documents without requiring complex real-time decision-making. This preliminary structuring reduces processing time while maintaining reliable identification accuracy.
Solution Approach 2:
The patent uses dynamic traversal of the hierarchical tree structure to optimize processing time. Instead of applying all algorithms in a fixed sequence, the system dynamically determines which paths to follow based on document characteristics, skipping unnecessary algorithm applications. This dynamic approach maintains reliable identification by following appropriate classification paths while significantly reducing processing time for high-volume authentication.
Data Source
AI summary
Techniques are described for identifying and validating security documents according to a dynamic document identification framework. For example, a security document authentication device includes an image capture interface that receives the captured images of a document and a memory that stores a plurality of document type objects within a data structure according to the dynamic document identification framework. The security document authentication device also includes a document processing engine that traverses the data structure by selectively invoking one or more of the plurality of processes to identify the captured images as one of the plurality of document type objects. Contrary to conventional identification techniques, this identification method performed by traversing the data structure stored according to the dynamic document identification framework may provide more accurate identification result in a more efficient manner, as only applicable processes may be applied to identify the captured images. Upon identifying the document type, a set of one or more validators are applied to further confirm its authenticity.