Recognition of Candidate ID Numbers on Answer Sheets with Image Processing Techniques
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Resource Overview
Identification of candidate ID numbers on answer sheets through grayscale conversion and image segmentation techniques, including practical applications for website development and enhancement.
Detailed Documentation
Following the recognition of candidate ID numbers on answer sheets, the system can perform grayscale conversion and image segmentation. The grayscale process involves converting RGB images to single-channel representations using weighted average methods (typically 0.299R + 0.587G + 0.114B) to reduce computational complexity. Image segmentation employs thresholding algorithms (like Otsu's method) or edge detection techniques (such as Canny operator) to isolate candidate ID regions. These computer vision techniques can be integrated into web development through JavaScript libraries (OpenCV.js) or backend processing (Python with OpenCV/PIL), enabling features like automated form verification and user document processing to improve website functionality and user experience.
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