python - How to get text of image using Tesseract

Question

Closed. This question needs debugging details. It is not currently accepting answers. question from:https://stackoverflow.com/questions/65916576/how-to-get-text-of-image-using-tesseract

Answer 1

I have a two-step solution

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• 1. Apply Dilation followed by Erosion (Closing)
• 2. Apply thresholding.

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Now why do we apply dilation followed by erosion?

As we can see the input image is consisting of artifacts around each character. Applying Closing operation will reduce the artifacts.

The artifacts are reduced but not completely gone. Therefore if we apply adaptive-threshold, result will be:

Now the image is suitable for reading:

AOF CIF

Code:

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import cv2
from pytesseract import image_to_string

img = cv2.imread("7UGLJ.png")
gry = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
(h, w) = gry.shape[:2]
gry = cv2.resize(gry, (w*2, h*2))
cls = cv2.morphologyEx(gry, cv2.MORPH_CLOSE, None)
thr = cv2.adaptiveThreshold(cls, 255, cv2.ADAPTIVE_THRESH_MEAN_C,
                            cv2.THRESH_BINARY, 41, 10)
txt = image_to_string(thr)
print(txt)