Pattern preview · 12 of 4,089 sample rules shown · site-specific intelligence stays private
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ocr_preprocessing
content-ocr-preprocessing-text-recognition-accuracy-is-poor-when-detected-te-f129a527
IFText recognition accuracy is poor when detected text regions have excessive whitespace (e.g., 5px padding) compared to training data (1-2px padding).
THENAfter text detection, apply tight cropping to each detected text region using OpenCV to remove extra whitespace, reducing padding to 1-2 pixels around the text. This aligns the input with training data characteristics and improves recognition accuracy.
Tier 170%
ocr_preprocessing
ai-agents-ocr-preprocessing-text-detection-cropped-regions-have-excessive-whit-108ed0b0
IFText detection cropped regions have excessive whitespace (>2px) around text, causing poor recognition accuracy.
THENTighten the crop around the detected text to leave only 1-2 pixels of whitespace. Use OpenCV to find the bounding rectangle of the text contours (e.g., cv2.boundingRect) and crop accordingly. Ensure the cropped image margins match the training data's whitespace distribution.
Tier 170%
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