Cognitive Pattern Recognition for Document Search Accuracy
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Solution Overview
Problem
Current document search methods are inefficient due to the commonality of words and phrases in different documents, leading to time-consuming searches and inaccurate results, especially when using common keywords.
Innovation Solution
An apparatus and method utilizing cognitive pattern recognition that enables users to search and display documents in a scaled common image format (CIF), allowing for visual differentiation of search text through a highlight option, which can be enabled or disabled, to facilitate quicker identification of relevant documents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If keyword search is used to find documents, then search functionality is provided, but search time increases and accuracy decreases due to commonality of words and phrases
Solution Approach 1:
The patent segments the document search task into multiple recognition stages: first identifying document type patterns (e.g., invoices, contracts), then locating specific content regions, and finally extracting text. This segmentation allows the system to handle common keywords more effectively by recognizing document structure before text matching, thereby reducing search time and improving accuracy.
Solution Approach 2:
The patent transitions from traditional one-dimensional text keyword matching to a multi-dimensional approach that includes document type classification, region-based content identification, and visual pattern recognition. This dimensional expansion enables the system to distinguish between documents with similar keywords but different contexts, reducing false positives and improving search precision.
2Adaptability or versatility
If common keywords are used in search, then broad search coverage is achieved, but number of irrelevant results increases
Solution Approach 1:
The patent applies local quality analysis by examining the specific context and region where keywords appear within documents. Instead of treating all occurrences of a keyword equally, the system analyzes the local document structure, heading levels, and content regions to determine relevance. This allows broad keyword coverage while filtering out irrelevant results that appear in inappropriate contexts.
Solution Approach 2:
The patent introduces document type classification and region identification as intermediary layers between keyword search and final result selection. These intermediaries act as filters that process search queries through multiple validation stages, eliminating irrelevant results before they reach the user while maintaining comprehensive search coverage.
3Device complexity
If traditional text search is used, then simple implementation is maintained, but ability to handle OCR errors and misfiles is insufficient
Solution Approach 1:
The patent replaces traditional mechanical text-matching algorithms with cognitive pattern recognition systems that simulate human document understanding. This substitution enables the system to handle OCR errors and misfiles by recognizing semantic patterns and document structure rather than relying solely on exact text matches, significantly improving reliability without excessive complexity increase.
Solution Approach 2:
The patent implements beforehand cushioning by incorporating multiple validation layers and error correction mechanisms that prevent OCR errors and misfiles from affecting search results. The system includes redundancy checks, pattern validation, and cross-verification steps that compensate for potential errors before they can produce incorrect results, thereby improving fault tolerance.
Data Source
AI summary
An apparatus and method for searching and displaying using cognitive pattern recognition including searching at least one document for at least one search text, wherein the at least one search text is associated with a highlight option; selecting to enable or to disable the highlight option; presenting a quantity of the at least one document in a scaled common image format (CIF); and displaying a selected amount of pages in the scaled common image format (CIF), wherein the at least one search text is shown according to whether the highlight option is enabled or disabled.