Image Search Using Text Elements Within Images
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Solution Overview
Problem
Current document processing systems lack efficient methods for seamlessly integrating paper documents with their digital counterparts, limiting the ability to search, retrieve, and utilize electronic content from scanned paper documents effectively.
Innovation Solution
A system that captures text from paper documents using optical scanners or audio devices, performs recognition processes like OCR or speech recognition, and constructs queries to search digital indices, allowing for the retrieval of associated electronic content and enabling actions such as accessing, purchasing, or sharing documents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If paper documents are used for document processing, then traditional writing and publishing processes are maintained, but search and retrieval efficiency is limited
Solution Approach 1:
The patent creates digital copies of paper documents through scanning and OCR processes. The system captures images of paper documents and generates searchable text representations, enabling efficient electronic search and retrieval while maintaining the original paper document format. This allows users to search digital replicas without altering the physical document handling processes.
Solution Approach 2:
The patent introduces an intermediary processing system that bridges paper and digital domains. The system includes scanning devices, OCR engines, and search index databases that act as intermediaries between physical documents and electronic search capabilities. This intermediary layer enables seamless integration without requiring users to change their traditional document workflows.
2Adaptability or versatility
If optical scanning and OCR processes are implemented, then text extraction from paper documents is enabled, but processing time and system complexity increase
Solution Approach 1:
The patent implements preliminary indexing and text extraction processes that prepare documents for rapid retrieval. The system pre-processes scanned documents by extracting text, generating indexes, and storing metadata in advance, so that when search queries are executed, results are returned quickly without requiring real-time processing of the entire document.
Solution Approach 2:
The patent divides the document processing workflow into separate, independent stages: scanning, OCR text extraction, indexing, and search retrieval. Each stage can be processed independently and in parallel, reducing overall processing time. The segmentation allows the system to handle different document formats through specialized modules without bottlenecking the entire process.
3Ease of operation
If digital indexing and search capabilities are added, then electronic content retrieval is improved, but integration with traditional document workflows becomes complex
Solution Approach 1:
The patent designs a universal search system that handles multiple document formats (paper, digital, scanned images) through a single integrated interface. The search engine can process queries across diverse document types without requiring separate systems for each format, simplifying user operations while maintaining backend complexity only where necessary for format conversion and indexing.
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 seamless integration of paper and digital documents, allowing users to access electronic versions, perform transactions, and engage with associated content and services directly from scanned paper documents, enhancing functionality without altering traditional writing, printing, or publishing processes.
Implementation Method 1
A system for searching for images using both text-based and image-based search techniques is described
Implementation Method 2
performs recognition processes like OCR or speech recognition
Data Source
AI summary
A mobile device searches for electronic content. The mobile device captures an image from a rendered document, and searches for an electronic version of the image using characteristics of the image and using text within the contents of the image. The mobile device receives a result for the search based upon the image characteristics and the text within the context of the image.