CODEWITHSUNDEEP
pythonimage-processingocrtesseractpython-tesseract
J.Doe
J.Doe

Reputation: 85

Python - pytesseract not consistent for similar images

For example this image returns Sieteary ear

enter image description here

While this image returns the correct answer

enter image description here

The only difference between the 2 images is 2 pixels in the height.

I have tried applying some threshold but didnt seem to help...

from PIL import Image
import pytesseract
pytesseract.pytesseract.tesseract_cmd = r"C:\Program Files\Tesseract-OCR\tesseract.exe"
image = Image.open(path)
print(pytesseract.image_to_string(image, lang='eng'))

Upvotes: 2

Views: 764

Answers (1)

nathancy
nathancy

Reputation: 46620

You can perform some preprocessing using OpenCV. The idea is to enlarge the image with imutils, obtain a binary image using Otsu's threshold, then add a slight Gaussian blur. For optimal detection, the image should be in the form where desired text to be detected is in black with the background in white. Here's the preprocessing results for the two images:

Before -> After

enter image description here

enter image description here

The output result from Pytesseract for both images are the same

BigBootyHunter2

Code

import cv2
import pytesseract
import imutils

pytesseract.pytesseract.tesseract_cmd = r"C:\Program Files\Tesseract-OCR\tesseract.exe"

image = cv2.imread('1.jpg')
image = imutils.resize(image, width=500)
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
thresh = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)[1]
thresh = cv2.GaussianBlur(thresh, (3,3), 0)
data = pytesseract.image_to_string(thresh, lang='eng',config='--psm 6')
print(data)

cv2.imshow('thresh', thresh)
cv2.waitKey()

Upvotes: 1

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