I am working on a real time text extraction problem , where I have the option of either capturing image of an object or take a video of the object and then do the text extraction.
I am trying to understand the advantages and disadvantages of both the methods, like in taking a photo of the object, the problem could be image quality, the advantage could be the time taken to process the image.
Similarly in video the image quality may be better, but selecting the best frame could be a challenge, also computationally it looks to be more intensive.
Can anyone list down potential advantages or disadvantages with both the approach?
Text information present in pictures and video contain valuable info. Text extraction from image has stages of detection the text from given image, finding the text location, extraction, improvement and recognition of text from the given image. But variations of text just like the variations in orientation, size, style, alignment; low size image distinction and a lot of difficult background create the matter of automatic text extraction extraordinarily troublesome.
The number of techniques and Methodology are planned to this downside.
You can take a look in these articles:
https://www.ijarcce.com/upload/2016/february-16/IJARCCE%2086.pdf
Conference Paper Video Text Extraction and Recognition: A Survey
Have a look at Conference Paper Video Text Extraction and Recognition: A Survey
https://helpx.adobe.com/photoshop/using/making-selections.html
https://www.ercim.eu/publication/ws-proceedings/DELOS4/oliveira.pdf
Quantum mechanics based image processing tools are extremely useful in this context, particularly the use of the Schrodinger equation for text extraction. You can easily find out the related literature from Google scholar.
The primary advantage of this approach is that the Schrodinger equation-based methods can easily identify the texts from a page.
Although, a localization effect can appear in this context due to a quantum phenomenon, which is a drawback. But this problem can be tackled by using some other ideas.
You can take a look in these articles:
Preprint Quantum mechanics-based signal and image denoising
http://www.cs.tut.fi/~moncef/publications/quantum-mechanics-ICIP-2013.pdf
https://arxiv.org/pdf/2004.01078.pdf
Isha Mishra
Text information present in pictures and video contain valuable info. Text extraction from image has stages of detection the text from given image, finding the text location, extraction, improvement and recognition of text from the given image. But variations of text just like the variations in orientation, size, style, alignment; low size image distinction and a lot of difficult background create the matter of automatic text extraction extraordinarily troublesome.
The number of techniques and Methodology are planned to this downside.
You can take a look in these articles:
https://www.ijarcce.com/upload/2016/february-16/IJARCCE%2086.pdf
Conference Paper Video Text Extraction and Recognition: A Survey
Since a video is larger in size, its frame resolution can be low as compared to images, and contain more noise too. In such cases text extraction can suffer in accuracy. A useful approach could be to first use good quality images to design your basic system, and then use video frames to improve its robustness.
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