Solving problem is about exposing yourself to as many situations as possible like Pytesseract OCR multiple config options and practice these strategies over and over. With time, it becomes second nature and a natural way you approach any problems in general. Big or small, always start with a plan, use other strategies mentioned here till you are confident and ready to code the solution.
In this post, my aim is to share an overview the topic about Pytesseract OCR multiple config options, which can be followed any time. Take easy to follow this discuss.
I am having some problems with pytesseract. I need to configure Tesseract to that it is configured to accept single digits while also only being able to accept numbers as the number zero is often confused with an ‘O’.
target = pytesseract.image_to_string(im,config='-psm 7',config='outputbase digits')
tesseract-4.0.0a supports below
psm. If you want to have single character recognition, set
psm = 10. And if your text consists of numbers only, you can set
Page segmentation modes: 0 Orientation and script detection (OSD) only. 1 Automatic page segmentation with OSD. 2 Automatic page segmentation, but no OSD, or OCR. 3 Fully automatic page segmentation, but no OSD. (Default) 4 Assume a single column of text of variable sizes. 5 Assume a single uniform block of vertically aligned text. 6 Assume a single uniform block of text. 7 Treat the image as a single text line. 8 Treat the image as a single word. 9 Treat the image as a single word in a circle. 10 Treat the image as a single character. 11 Sparse text. Find as much text as possible in no particular order. 12 Sparse text with OSD. 13 Raw line. Treat the image as a single text line, bypassing hacks that are Tesseract-specific.
Here is a sample usage of
image_to_string with multiple parameters.
target = pytesseract.image_to_string(image, lang='eng', boxes=False, config='--psm 10 --oem 3 -c tessedit_char_whitelist=0123456789')
Hope this helps.
The reason you are having trouble is because character restriction does not work in version 4.0. You have to force legacy mode (oem 0) to have it limit found characters. There is a bug somewhere in the tesseract team that they have not yet addressed.