I have a photo like this:
I have tried to read it with pytesseract in Python:
from PIL import Image import pytesseract import numpy pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract.exe' im = Image.open("11.jpg") text = pytesseract.image_to_string(im,lang = "eng") print(text) but pytesseract cant read it. I tried opencv too but I can't find a solution.
Before applying OCR onto the image, you need to preprocess the image. A simple preprocessing approach is to enlarge the image, obtain a binary image using Otsu's threshold, perform morphological operations, then OCR the image.
Enlarge, Gaussian blur, and Otsu's threshold
Morph open
Morph close
Invert, apply slight blur, and OCR
Result from Pytesseract OCR image_to_string using the --psm 6 configuration option to treat the image as a single block of text.
xc2kc2 Code
import cv2 import pytesseract import imutils pytesseract.pytesseract.tesseract_cmd = r"C:\Program Files\Tesseract-OCR\tesseract.exe" # Resize, grayscale, Gaussian blur, Otsu's threshold image = cv2.imread('1.jpg') image = imutils.resize(image, width=400) gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) blur = cv2.GaussianBlur(gray, (5,5), 0) thresh = cv2.threshold(blur, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)[1] # Perform morphological operations kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (3,3)) opening = cv2.morphologyEx(thresh, cv2.MORPH_OPEN, kernel, iterations=1) close = cv2.morphologyEx(opening, cv2.MORPH_CLOSE, kernel, iterations=3) # Invert, Blur, and perform text extraction invert = 255 - cv2.GaussianBlur(close, (3,3), 0) data = pytesseract.image_to_string(invert, lang='eng',config='--psm 6') print(data) cv2.imshow('thresh', thresh) cv2.imshow('opening', opening) cv2.imshow('close', close) cv2.imshow('invert', invert) cv2.waitKey() 
This blog has a post where the blogger mentions trying to use tesseract, gocr and ocrad to read captcha text.
The key step is cleaning the image before you try to read it. The example that is given on that site uses a simple threshold filter but since your image is in colour that might not work as well.
You should experiment with different image processing techniques to see if you can clean up the image sufficiently to recognize the text.
Having said the above, I will echo @SiHa's comment and suggest that this activity is unethical. Attempting to subvert the CAPTCHA protection shows a lack of respect for the owner of the server, whether they are doing it to protect their bandwidth or their business.
