diff options
Diffstat (limited to 'extensions/ConfirmEdit/captcha.py')
| -rw-r--r-- | extensions/ConfirmEdit/captcha.py | 25 |
1 files changed, 21 insertions, 4 deletions
diff --git a/extensions/ConfirmEdit/captcha.py b/extensions/ConfirmEdit/captcha.py index 558b9fab..222dfb9c 100644 --- a/extensions/ConfirmEdit/captcha.py +++ b/extensions/ConfirmEdit/captcha.py @@ -39,6 +39,7 @@ try: import ImageDraw import ImageEnhance import ImageOps + import ImageMath except: sys.exit("This script requires the Python Imaging Library - http://www.pythonware.com/products/pil/") @@ -49,7 +50,7 @@ def wobbly_copy(src, wob, col, scale, ang): x, y = src.size f = random.uniform(4*scale, 5*scale) p = random.uniform(0, math.pi*2) - rr = ang+random.uniform(-30, 30) # vary, but not too much + rr = ang+random.uniform(-10, 10) # vary, but not too much int_d = Image.new('RGB', src.size, 0) # a black rectangle rot = src.rotate(rr, Image.BILINEAR) # Do a cheap bounding-box op here to try to limit work below @@ -86,8 +87,8 @@ def gen_captcha(text, fontname, fontsize, file_name): x, y = im.size # add the text to the image d.text((x/2-dim[0]/2, y/2-dim[1]/2), text, font=font, fill=fgcolor) - k = 3 - wob = 0.20*dim[1]/k + k = 2 + wob = 0.09*dim[1] rot = 45 # Apply lots of small stirring operations, rather than a few large ones # in order to get some uniformity of treatment, whilst @@ -102,9 +103,25 @@ def gen_captcha(text, fontname, fontsize, file_name): bbox = im.getbbox() bord = min(dim[0], dim[1])/4 # a bit of a border im = im.crop((bbox[0]-bord, bbox[1]-bord, bbox[2]+bord, bbox[3]+bord)) + + # Create noise + nblock = 4 + nsize = (im.size[0] / nblock, im.size[1] / nblock) + noise = Image.new('L', nsize, bgcolor) + data = noise.load() + for x in range(nsize[0]): + for y in range(nsize[1]): + r = random.randint(0, 65) + gradient = 70 * x / nsize[0] + data[x, y] = r + gradient + # Turn speckles into blobs + noise = noise.resize(im.size, Image.BILINEAR) + # Add to the image + im = ImageMath.eval('convert(convert(a, "L") / 3 + b, "RGB")', a=im, b=noise) + # and turn into black on white im = ImageOps.invert(im) - + # save the image, in format determined from filename im.save(file_name) |