• Python (version 3.6 or higher)
• OpenCV (cv2) library
• EasyOCR library Usage- Save the script to a Python file (e.g., text_extraction.py).
• Run the script from the command line with the path to the input image as an argument:

python text_extraction.py <input_image_path>

1. Initialization- The script initializes an EasyOCR reader with English language support.

• The gpu=True argument enables GPU acceleration if available.

2. Function

• headwritingTotext(img)- This function extracts text from an input image.
• Arguments:
  • img: Path to the input image file.
• Steps:
  • Read the input image using OpenCV (cv2).
  • Enhance the image by sharpening its edges.
  • Create a binary version of the image using thresholding.
  • Utilize EasyOCR to read text from the preprocessed image.
  • Return a list of detected text strings.

3. Main Execution- The script checks if the correct number of command-line arguments (i.e., the input image path) is provided.

• If not, it prints a usage message and exits.
• Otherwise, it calls the headwritingTotext function with the input image path.
• Finally, it prints the extracted text. Example UsageSuppose you have an image named sample_image.jpg. Run the script as follows:

python script.py sample_image.jpg

Notes- Replace <input_image_path> with the actual path to your image.