Zefoy OCR bruteforce captcha solver using cv2, PIL and pytesseract aswell as the Zefoy API
✔ Solves the zefoy captcha under 20s
> Install python and pip
> Download this repo or git-clone it
> Install the requirements with: pip install -r requirements.txt
> run main.py, you may aswell then add your code when the captcha gets solved- The solver is not accurate at all, if you wish you can optimize it and make a pull request
- Make it better faster
v0.0.2 ⋮ 2022-06-10
+ better response when solved
v0.0.1 ⋮ 2022-06-10
+ initial commitimport os, cv2, numpy, pytesseract, PIL, re, enchant
from tkinter import W
import scipy.ndimage as ndimage
import matplotlib.pyplot as plt
file = cv2.imread(f"./captcha.png")
thresh, im_bw = cv2.threshold(file, 200, 260, cv2.THRESH_BINARY)
_name = f'./enhanced.png'
b = cv2.imwrite(_name, im_bw)
def bbox(im):
a = numpy.array(im)[:,:,:3]
m = numpy.any(a != [255, 255, 255], axis=2)
coords = numpy.argwhere(m)
y0, x0, y1, x1 = *numpy.min(coords, axis=0), *numpy.max(coords, axis=0)
return (x0, y0+1, x1-1, y1-1)
im = PIL.Image.open(_name)
im2 = im.crop(bbox(im))
im2.save(_name)
image = PIL.Image.open(_name)
inverted_image = PIL.ImageOps.invert(image)
inverted_image.save(_name)
im = PIL.Image.open(_name)
im2 = im.crop(bbox(im))
im2.save(_name)
basewidth = 700
img = PIL.Image.open(_name)
wpercent = (basewidth/float(img.size[0]))
hsize = int((float(img.size[1])*float(wpercent)))
img = img.resize((basewidth,hsize), PIL.Image.ANTIALIAS)
img.save(_name)
cv2.imwrite(_name, cv2.threshold(cv2.dilate(cv2.threshold(cv2.imread(_name), 115, 255, cv2.THRESH_BINARY_INV)[1], cv2.getStructuringElement(cv2.MORPH_RECT, (3,3)), iterations=1), 115, 255, cv2.THRESH_BINARY_INV)[1])
ocr = pytesseract.image_to_string(_name, lang='eng', config='--psm 6 --oem 3')
captcha = str(ocr)
if captcha != "" and not None or not None:
_captcha = re.compile('[^a-zA-Z]').sub('', captcha).lower()
print(_captcha)
README.md inspired from Rdimo