Camera Zoom Adjustment for Character Recognition in OCR Systems
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Solution Overview
Problem
Conventional camera-based Optical Character Recognition (OCR) systems face inefficiencies and recognition failures due to excessively large or small character sizes in images, which are not within a predetermined range, leading to reduced recognition efficiency.
Innovation Solution
A method and apparatus that automatically adjust the zoom ratio of a camera to resize characters within a preset range for precise recognition, utilizing a camera module, recognizer module, OCR recognition engine, and dictionary module to detect character sizes and apply zoom functions as needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If Snapshot OCR is used with high-resolution images for accurate character recognition, then character recognition capability is improved, but recognition time increases
Solution Approach 1:
The patent applies partial action by performing OCR on only the selected region containing characters rather than processing the entire high-resolution image. The system allows users to select a specific region of interest, and the OCR engine processes only that portion, reducing computation time while maintaining recognition accuracy for the target characters.
2Adaptability or versatility
If characters in the image are excessively large or small, then image capture flexibility is improved, but recognition efficiency deteriorates
Solution Approach 1:
The patent implements dynamic region selection where the system automatically identifies and adjusts the region of interest based on character detection. The OCR engine dynamically adapts to varying character sizes by selecting appropriate regions, allowing the system to handle both large and small characters effectively while maintaining recognition efficiency.
Solution Approach 2:
The system changes the parameter of region selection based on character size detection. When characters are detected to be outside the optimal recognition range, the system adjusts the selected region parameters to focus on areas with appropriately sized characters, thereby maintaining recognition efficiency across varying character scales.
3Reliability
If full recognition is performed on all characters in the image, then completeness of recognition is improved, but processing time increases
Solution Approach 1:
The patent applies segmentation by dividing the image into a selected region of interest and the rest of the image. The OCR processing is segmented to operate only on the selected region containing characters, while other regions are excluded from processing. This segmentation maintains completeness for the target characters while significantly reducing processing time.
Data Source
AI summary
A method is provided for automatically adjusting a size of characters using a camera. The method includes receiving an image with characters; adjusting a focus of the image with characters and detecting a region and a size of characters in the image; determining whether the size of the characters in the image falls within a preset range; recognizing the characters in the image and displaying the recognition results, if the size of the characters falls within the preset range; and automatically adjusting a zoom ratio of the image and recognizing the characters in the resized image, if the size of the characters does not fall within the preset range.