I’m using Tesseract but I don’t know whether it neglects any nontext area and targets text only. Do I have to remove any nontext area as a preprocessing step for better output?
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I’m using Tesseract but I don’t know whether it neglects any nontext area and targets text only. Do I have to remove any nontext area as a preprocessing step for better output?
Tesseract has a pretty good algorithm to detect text, but it will eventually give false-positive matches.
Ideally, you would pre-process the image before submitting it to tesseract. Some time ago I engaged in a similar task, so I suggest you take a look at the following material:
OpenCV C++/Obj-C: Detecting a sheet of paper / Square Detection
Executing cv::warpPerspective for a fake deskewing on a set of cv::Point
Rotate cv::Mat using cv::warpAffine offsets destination image
Affine Transform, Simple Rotation and Scaling or something else entirely?