How to extract the text from images without using OCR. will you plz help me. in matlab 13 version

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Answer 1

[Mike Shives]

A workaround is to install tesseract on your PC.

The workflow in Matlab is to print the image you want to run OCR to a .tif (.jpg works too), do a system call to tesseract, then read its output into matlab.

For example:

imwrite(im,'image.tif'); 
system('tesseract image.tif res'); 
a = importdata('res.txt');

you may want to use textscan instead of importdata....

Answer 2

[Image Analyst]

You can use MSER: http://www.mathworks.com/help/vision/examples/automatically-detect-and-recognize-text-in-natural-images.html

http://www.mathworks.com/matlabcentral/answers/6200-tutorial-how-to-ask-a-question-on-answers-and-get-a-fast-answer

[Mike Shives]

That article still requires using the OCR function, and therefore computer vision toolbox.

Answer 3

[Walter Roberson]

The topic of recognizing text is known as Optical Character Recognition, often abbreviated to OCR. Any technique that can recognize text in images is an ocr technique. It is not possible to recognize text without using ocr, because anything recognizes text is defined to be ocr.

[Image Analyst]

Well you can recognize text regions first using things like MSER or other methods without identifying the corresponding actual true letter that the blob represents, which can come in a later stage. In the example I linked to, the letters are first identified and the OCR part doesn't happen until "Step 5: Recognize Detected Text Using OCR".

[Nathan Hale]

I don't have access to the ocr() function with its specific toolbox. I've gone through the MSER example mentioned above and was able to follow along. However, at the end, it uses the ocr function, which is no good for my case. Do you have any other ideas/leads I can look into here?

[Image Analyst]

You're welcome to write your own OCR algorithm. You can start here.

[Walter Roberson]

https://www.mathworks.com/matlabcentral/fileexchange/40499-optical-character-recognition-2-0-ocr-2-0