🔍 Red Background Remover & OCR for Turkish Text

This project is a Google Colab-compatible image processing pipeline that:

✅ Removes red backgrounds from images
✅ Extracts white-colored Turkish text
✅ Uses Tesseract OCR to convert image content into readable text

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📸 What It Does

When you upload an image with a red background and white text, the script:

1. Detects red areas using HSV color masking
2. Inverts the mask to isolate white text
3. Applies morphological operations to clean up noise
4. Runs Tesseract OCR (Turkish language) to extract the text

Works especially well for:

• Posters with red backgrounds
• Documents or visuals with strong red coloring
• White-on-red warning labels, graphics, or forms

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🧠 How It Works – Core Functions

🔻 remove_red_background(image)

• Converts image to HSV color space
• Masks red areas using two HSV ranges
• Inverts the mask so text appears white
• Optionally applies morphological operations

🔠 perform_ocr(processed_image)

• Uses Tesseract with --psm 6 layout mode
• Language set to tur (Turkish)
• Extracts text from the masked image

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📦 Dependencies

• OpenCV
• NumPy
• Matplotlib
• Tesseract OCR
• Turkish OCR package: tesseract-ocr-tur

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🔒 Notes

• Only red → white contrast is currently supported
• Works best with clean, high-contrast images
• Use RGBA or RGB compatible formats (e.g., .png, .jpg)