Thanks Andres! I will try implementing those methods. On Monday, June 12, 2017 at 12:36:43 AM UTC+5:30, [email protected] wrote: > > I am trying to do do OCR using tesseract on images. I am unable to figure > out a proper pre processing technique for the same. > > the problems I am facing is: > > 1. Low contrast images: The images have different texts with different > font sizes. So what should be my approach to enhance the contrast of any > image. > > 2. Problem of touching characters: Sometimes after applying adaptive > thresholding I am facing the problem of touching characters (in which two > adjacent characters are touching each other) What is the best way to figure > out a solution for that. > > 3. Problem of non uniform illumination: How should I proceed if I want to > solve the problem of non uniform illumination ? > > How can image segmentation solve my problem ? > > I have added a sample image. Assume that the image is not rotated as it is > there in the picture. But the variety of font sizes and the text segments > in the image are exact replica of what I am asking about ? Apart from above > mentioned steps, I would appreciate any kind of suggestion for pre - > processing of the above image. Let me know if you have worked out a > solution for something related to this. > > Thanks > > >
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