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Persian Document Scanner with OCR and Automatic Orientation Correction

Description: This project leverages OpenCV and Tesseract OCR to detect and scan documents from images. It locates document contours, corrects perspective for a clean, top-down view, and applies OCR (using Persian language support) to recognize and extract text. The script also detects and adjusts image orientation based on OCR confidence, ensuring proper readability.

Requirements:

  • Python 3.6+
  • OpenCV for image processing (cv2 module)
  • Pytesseract for Optical Character Recognition (OCR)

Python Libraries:

  • numpy : For numerical operations
  • cv2 : OpenCV library for image processing
  • pytesseract : Tesseract OCR wrapper

Steps to Run:

  1. Install Python libraries:
pip install numpy opencv-python pytesseract
  1. Install Tesseract OCR:

Usage

  1. Prepare Input Image: Save the document image as input_image.jpg in the same directory (You can use PNG file).
  2. Run the Python script app.py using the command:
python app.py
  1. Output:
  • result_image.jpg : Scanned document image after perspective correction.
  • rotated_image.jpg : Final image with corrected orientation.

How It Works:

  1. Edge Detection and Contour Detection:
    • Converts the image to grayscale, applies Gaussian blur, and performs Canny edge detection.
    • Identifies document boundaries and applies morphological operations to close gaps.
  1. Perspective Correction:
    • Locates a contour with four corners (assumed to be the document) and applies perspective transformation to get a top-down view.
  1. OCR and Orientation Detection:
    • Runs OCR on the center portion of the image at various angles (0°, 90°, 180°, and 270°).
    • Chooses the angle with the highest OCR confidence for final orientation.

Notes

  • This script is optimized for Persian language OCR; modify the lang parameter in ocr_image if using other languages.
  • Ensure pytesseract.pytesseract.tesseract_cmd points to your Tesseract installation if running on Windows.