readlines () word = words gen_captcha ( word. save ( file_name, format = fmt ) if _name_ = '_main_' : """Example: This grabs a random word from the dictionary 'words' (one word per line) and generates a jpeg image named 'test.jpg' using the truetype font 'porkys.ttf' with a font size of 25. EDGE_ENHANCE_MORE ) # save the image to a file im. text (( 3, 3 ), text, font = font, fill = fgcolor ) im = im. rectangle (( r ( 0, x ), r ( 0, y ), r ( 0, x ), r ( 0, y )), fill = r ( 0, 0 xffffff )) # add the text to the image d. ![]() randint # draw 100 random colored boxes on the background for num in range ( 100 ): d. new ( 'RGB', ( dim + 5, dim + 5 ), bgcolor ) d = ImageDraw. In our see, there are usually 3 items that possibly have Human being Confirmation in their data source. getsize ( text ) # create a new image slightly larger that the text im = Image. truetype ( fnt, fnt_sz ) # determine dimensions of the text dim = font. Indeed, fraudsters use silicone masks, printed photographs of other people, or even life-size mannequins to get onboarded or hack into accounts. When it comes to fooling facial biometrics, the oldest trick in the book is to wear a mask. randint ( 0, 0 xffff00 ) # make the background color the opposite of fgcolor bgcolor = fgcolor ^ 0 xffffff # create a font object font = ImageFont. The two methods of fooling face verification: spoofing and bypassing. ![]() ![]() Import random import Image import ImageFont import ImageDraw import ImageFilter def gen_captcha ( text, fnt, fnt_sz, file_name, fmt = 'JPEG' ): """Generate a captcha image""" # randomly select the foreground color fgcolor = random.
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