Document Search System Using OCR Feature Recognition
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Solution Overview
Problem
Current systems lack a seamless method to search electronic documents based on paper documents, requiring manual review and interface usage to find corresponding electronic documents.
Innovation Solution
A method and system that captures images of paper documents using a device, performs optical character recognition (OCR) to extract features, and sends search information to a server to retrieve relevant electronic documents, allowing for automatic search and presentation of results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual review of paper documents is used to search electronic documents, then search accuracy can be maintained, but productivity is reduced due to manual effort
Solution Approach 1:
The system performs automatic optical character recognition on paper documents to extract text and metadata, enabling the search process to serve itself without manual intervention. The device captures images, processes them through OCR, and automatically generates search queries, eliminating the need for manual review while maintaining search functionality.
Solution Approach 2:
The manual mechanical process of reviewing paper documents is replaced with an automated optical and digital processing system. The camera captures the document, OCR software extracts text, and the system automatically formulates and executes search queries, substituting human manual operations with automated technological processes.
2Productivity
If automatic OCR-based search is implemented, then productivity increases, but device complexity increases due to integration of camera and processing capabilities
Solution Approach 1:
The device is designed to perform multiple functions: capturing document images with the camera, processing OCR to extract text, analyzing metadata, formulating search queries, and displaying results. This multi-functional approach consolidates what could be separate systems into a single integrated device, managing complexity through functional consolidation.
Solution Approach 2:
The patent combines the camera, OCR processing engine, search query formulation, and result display capabilities into a unified system. By merging these previously separate functions into one integrated device, the system achieves automation while managing complexity through consolidation rather than proliferation of separate components.
3Ease of operation
If seamless connection between paper and electronic documents is achieved, then ease of operation improves, but loss of information may increase due to automated processing
Solution Approach 1:
The system incorporates feedback mechanisms where the device displays captured document images and allows users to review and correct OCR-recognized text before finalizing the search query. This feedback loop enables users to verify that the automated processing has accurately captured the intended search terms, reducing information loss while maintaining ease of operation.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables efficient and automatic searching of electronic documents based on paper documents, improving the connection between physical and digital document management by reducing manual effort and enhancing search functionality.
Implementation Method 1
capturing a first image of a first portion of a document with a camera of a device
Data Source
AI summary
A system for document searching can include a camera. The system may further include an image capturing module configured to capture a first image of a first portion of a document, a feature recognition module in communication with the image capturing module, the feature recognition module configured to determine a first feature associated with the first image, a search module configured to send search information to a server and receive a first result from a first search of a set of documents that was performed based on one or more search criteria determined based on the first feature associated with the first image, and a search interface configured to present the first result on the device.