Document Authentication via Dynamic Fuzzy Logic Thresholds
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional systems for computerized fraud detection and document authentication lack efficiency in analyzing electronic documents, particularly in distinguishing authentic from forged documents and ensuring compliance with regulations, due to inadequate binary characteristic analysis and lack of dynamic threshold adjustments.
Innovation Solution
A computerized method and system for authenticating documents that captures images, enhances them, identifies and crops relevant sections, optimizes OCR readability, and dynamically adjusts binarization thresholds and weights based on system knowledge and document characteristics to determine authenticity and compliance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional systems generate a summary for each electronic document representing an analysis vis a vis the binary characteristic, then the system can process documents efficiently, but the system cannot utilize the analysis to come to a decision regarding the correct value for the binary characteristic of any individual document
Solution Approach 1:
The patent replaces conventional binary classification systems with a fuzzy logic-based computational system. Instead of forcing documents into discrete authentic/forged categories, the system uses continuous membership functions to represent degrees of authenticity, enabling both efficient processing and precise individual document evaluation through dynamic threshold adjustment based on system knowledge.
Solution Approach 2:
The system dynamically changes the threshold parameter for binary characteristic determination based on accumulated system knowledge. The threshold is not fixed but adapts according to the degree of authenticity derived from fuzzy logic analysis, allowing the system to maintain high processing efficiency while achieving accurate individual document decisions through parameter optimization.
2Ease of operation
If the system uses fixed binarization thresholds for document analysis, then the system operation is simple, but the system cannot dynamically adapt to different document characteristics and system knowledge
Solution Approach 1:
The patent transforms the static binarization threshold into a dynamic parameter that adapts based on system knowledge and document characteristics. The threshold adjusts automatically according to the degree of authenticity calculated through fuzzy logic, maintaining operational simplicity while achieving adaptability through continuous parameter optimization rather than complex manual configuration.
3Measurement precision
If the system performs comprehensive analysis of all document characteristics, then the authenticity determination is accurate, but the processing time and computational resources increase
Solution Approach 1:
The patent replaces exhaustive binary analysis with fuzzy logic-based degree-of-authenticity calculation. This substitution enables comprehensive consideration of multiple document characteristics and system knowledge without requiring complete binary classification of all features, reducing processing time while maintaining or improving accuracy through continuous rather than discrete evaluation.
Data Source
AI summary
A computerized method for authenticating documents having VIZ sections, the method comprising capturing an image of a document to be authenticated from a scanner and enhancing the captured image, and using a processor for identifying and cropping a VIZ section in the image.