Captcha

How to generate captchas

The easies way for generating captchas is through libraries in different programming languages (Python, Javascript, PHP, etc) dedicated to this task

Bellow is a list of different libraries used to produce different kind of captchas, dependencies, instructions of how to use them.

Python

3D Captcha

https://github.com/013231/3D-CAPTCHA

• requires:
  • PIL (Python Image Library)
  • pylab

Run in the terminal:

python captcha.py

= possible changes to script

captcha.py allows different parameters to be changed, namely

• font-face: fontPath = '/Library/Fonts/Arial.ttf'
• text used in captch
• image dimension and format
• image color
• image 3D position

Here is a modified, simplified, and commented version of the captcha.py script:

 
#!/usr/bin/env python 
# encoding=utf-8

from random import uniform, shuffle
from cStringIO import StringIO
from PIL import ImageFont, Image, ImageDraw
import numpy, pylab
from mpl_toolkits.mplot3d import Axes3D

fontPath = '/Library/Fonts/Arial.ttf' # path to font used
img_ext = 'png' # image extension. Supported formats: eps, jpeg, jpg, pdf, pgf, png, ps, raw, rgba, svg, svgz, tif, tiff.

def makeImage(text, width=400, height=200, angle=None, ext='png'):
    '''Generate a 3d CAPTCHA image.
    Args:
        text: Text in the image.
        width: Image width in pixel.
        height: Image height in pixel.
        angle: The angle between text and X axis.
    Returns:
        Binary data of CAPTCHA image in PNG format.
    '''
    angle = angle if angle != None else uniform(-20, 20)
    try:
        font = ImageFont.truetype(fontPath, 24)
    except IOError:
        raise IOError(
            'Font file doesn\'t exist. Please set `fontPath` correctly.')
    txtW, txtH = font.getsize(text)
    img = Image.new('L', (txtW * 3, txtH * 3), 255)
    drw = ImageDraw.Draw(img)
    drw.text((txtW, txtH), text, font=font)
    
    fig = pylab.figure(figsize=(width/100.0, height/100.0))
    ax = Axes3D(fig)
    X, Y = numpy.meshgrid(range(img.size[0]), range(img.size[1]))
    Z = 1 - numpy.asarray(img) / 255
    ax.plot_wireframe(X, -Y, Z, rstride=1, cstride=1)
    ax.set_zlim((-3, 3))
    ax.set_xlim((txtW * 1.1, txtW * 1.9))
    ax.set_ylim((-txtH * 1.9, -txtH * 1.1))
    ax.set_axis_off()
    ax.view_init(elev=60, azim=-90 + angle)

    fim = StringIO()
    fig.savefig(fim, format=ext)
    binData = fim.getvalue()
    fim.close()
    return binData

if __name__ == '__main__':
    degrees = [i*10 for i in range(0,36)] # list different degrees
    for n in degrees: # for loop will produce 35 different images, each in a different angle         
        img = makeImage(text='Are you human?', width=600, height=300, angle=n, ext=img_ext ) # Essential command: text, width, height, angle  
        n = str(n).rjust(3, '0')        
        filename = 'human_{}.{}'.format(n, img_ext)
        print filename
        with open(filename, 'wb') as f:
            f.write(img)