Add Optical Character Recognition project (opencv)

[mehul-m-prajapati]

Is your feature request related to a problem? Please describe.
The challenge is efficiently extracting text from images, such as scanned documents, receipts, and handwritten notes. Users often struggle with inaccuracies in text recognition due to variations in fonts, handwriting styles, or image quality, leading to time-consuming manual corrections.

Describe the solution you'd like
I would like to develop a robust OCR system that utilizes OpenCV and Tesseract to accurately extract and digitize text from various image formats. The solution should include preprocessing steps to enhance image quality, improving the accuracy of the OCR output.

Describe alternatives you've considered
N/A

Approach to be followed (optional)

• Image Acquisition: Gather images that contain text for recognition, ensuring a variety of formats and qualities.
• Preprocessing: Apply image processing techniques using OpenCV to enhance the images. This may include:
• Grayscale conversion
• Thresholding or binarization
• Noise reduction
• Deskewing
• Text Detection: Utilize Tesseract to detect and recognize text within the preprocessed images.
• Post-processing: Implement spell-checking and text formatting to refine the recognized output.
• Output: Provide the extracted text in a user-friendly format, such as a text file or direct display in an application.

Additional context
N/A

[github-actions]

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[github-actions]

Hello @mehul-m-prajapati! Your issue #242 has been closed. Thank you for your contribution!