Microform Word Search via Bitmap Template Matching
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Solution Overview
Problem
Current microform imaging systems lack real-time word searching capabilities, requiring users to manually search through large numbers of images and often resulting in only a small portion being stored or printed, as they do not facilitate automated search functions on bitmap images.
Innovation Solution
A digital microform imaging system that uses a processor to drive a display with real-time images, allowing users to enter search expressions and visually distinguish instances within the image without the need for Optical Character Recognition (OCR) processing, by creating a search template to identify and highlight matching words or phrases directly on the bitmap image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual searching through microform images is used, then users can examine images, but the search process is time-consuming and inefficient
Solution Approach 1:
The patent replaces manual mechanical searching through microform images with an automated computer-based image processing system. The system uses digital image acquisition, preprocessing, segmentation, and character recognition algorithms to automatically search for and locate specific words or phrases within microform images, eliminating the need for manual visual inspection and significantly improving search efficiency.
2Reliability
If all microform images are stored for later access, then complete records are preserved, but storage requirements and data management complexity increase
Solution Approach 1:
The patent extracts and stores only the essential information (searched words, phrases, and their locations) from the microform images rather than storing complete image copies. The system identifies and extracts relevant textual information through image processing and character recognition, storing only the necessary data for future reference while maintaining the ability to retrieve and display original images when needed, thus reducing storage requirements and management complexity.
3Extent of automation
If OCR processing is used to enable word searching, then automated search is possible, but the processing complexity and time required increase
Solution Approach 1:
The patent segments the image processing task into distinct stages: image acquisition, preprocessing (noise reduction, contrast enhancement), segmentation (isolating text regions from background), character recognition, and search execution. By dividing the complex OCR process into manageable segments with specialized algorithms for each stage, the system achieves automated search capability while controlling processing complexity through modular design.
Data Source
AI summary
A digital imaging system and method for searching for expressions that appear on a microform medium, the system having a computer including a processor and an input device, and a digital microform imaging apparatus having an area sensor generating a digital microform image of the microform medium. The computer is configured to receive a search expression from the input device, create an expression template representing a shape of the search expression, and search the digital microform image for instances of the expression template.