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Also, many people are suggesting like first we should remove the noise/blur background from the image then we should process the image but it's quite unknowing thing for me. I tried like below: from PIL import Image, ImageEnhance, ImageFilter import pytesseract img = Image.open("test.png") imagetext = pytesseract.image_to_string(img) print ...
Why roll out your own captcha when reCAPTCHA is free, accessible (through the audio option, making it usable for people with visual issues) and at the same time helps digitize various publications? There's even a .NET implementation .
from io import BytesIO. from PIL import Image. # Download image function. def downloadImage(element,imgName): img = element.screenshot_as_png. stream = BytesIO(img) image = Image.open(stream).convert("RGB") image.save(imgName) # Find all the web elements of the captcha images.
from selenium import webdriver. def get_captcha(driver, element, path): # now that we have the preliminary stuff out of the way time to get that image :D. location = element.location. size = element.size. # saves screenshot of entire page. driver.save_screenshot(path) # uses PIL library to open image in memory.
You can use createControlRange to create a controlRange of non-text elements. Then find the image tag, for example by using id, then add the image tag to the control range and call it's execCommand method to execute Copy command, and finally, get the image from clipboard:
I want to extract numbers from captcha image, so I tried this code from this answer this answer: . try: from PIL import Image except ImportError: import Image import pytesseract import cv2 file = 'sample.jpg' img = cv2.imread(file, cv2.IMREAD_GRAYSCALE) img = cv2.resize(img, None, fx=10, fy=10, interpolation=cv2.INTER_LINEAR) img = cv2.medianBlur(img, 9) th, img = cv2.threshold(img, 185, 255 ...
16. Because the link of image's src gives you a random new captcha image once you open that link! Instead of download the file from the image's src, you can take a screenshot to get the one in browser. However, you need to download Pillow (pip install Pillow) and use it like the way mentioned in this answer:
Step-1: Resize. Resizing the image enables the OCR-algorithm to detect the character or digit strokes in the input image. Step-2: Closing. Closing is a morphological operation aims to remove the small-holes in the input image. If we look carefully Q and W characters consists of lots of small holes. Step-3: Threhsold.
img = soup.find('img',id ='imgCaptcha') print img. urllib.urlretrieve(img['src'],'captcha.bmp') But some how this script doesn't seem to work. 1) One solution is to take screenshot and crop out the captcha. But I need a different solution as I am going to work on devices with various screen sizes so taking screen shot would not solve the purpose.
Check out node-captcha-generator. It uses the MNIST Database to generate numerical captcha images. Pretty easy to integrate. I had used it on a previous website, it generates captcha images that look like this. Very simple usage as well. Here is an example for a GET request for generating a new Captcha image on each request (Express):