Ocr accuracy optimization through image preprocessng and image segmentation

[litesh1123]

Related Issue

[Cite any related issue(s) this pull request addresses. If none, simply state “None”]

97

Description

[Please include a brief description of the changes or features added]

added image preprocessing:- before undergoing OCR extraction , users can choose functions like greyscale, threshold, adaptive threshold and denoise where user can see manipulation of image and extracted text in output section. added image segmentation:- Images would be divided into parts for ROI (region of interest) and text will be extracted from the divided parts.

Type of PR

• [ ] Bug fix
• [X] Feature enhancement
• [ ] Documentation update
• [ ] Other (specify): ___

Screenshots / videos (if applicable)

[Attach any relevant screenshots or videos demonstrating the changes] Demo video link- https://drive.google.com/file/d/1phb0gmf1UlSvp7tU80azUM3PQH9Wo3f1/view?usp=sharing

Checklist:

• [ X] I have performed a self-review of my code
• [X ] I have read and followed the Contribution Guidelines.
• [X ] I have tested the changes thoroughly before submitting this pull request.
• [X] I have provided relevant issue numbers, screenshots, and videos after making the changes.
• [X ] I have commented my code, particularly in hard-to-understand areas.

Additional context:

[Include any additional information or context that might be helpful for reviewers.] @sanjay-kv sir other guy who raised issue i tried to contact him but no reply ,i have reviewed and added necessary changes for increasing OCR accuracy.

[litesh1123]

@sanjay-kv sir, if possible please assign level3 sir, invested lot of time and research for adding features

[litesh1123]

@sanjay-kv sir i see some conflicts in pull request, so making a new branch and new pr , closing the issue and deleting branch