python之使用PIL模块制作随机验证码

时间：2023-03-10 07:43:30
python之使用PIL模块制作随机验证码

制作随机验证码，需要如下知识点：

1、随机验证码的制作（这里用的是random模块随机产生字符）

2、图片的制作

3、随机直线干扰项

4、其他随机干扰项

代码如下：

from PIL import Image

from PIL import ImageDraw

from PIL import ImageFont

import random

#随机颜色

def get_random_color():

    r = random.randint(0,255)

    g = random.randint(0,255)

    b = random.randint(0,255)

    return (r,g,b)

#随机位置

def get_random_position(x,y):

    x = random.randint(0,x - 50)

    y = random.randint(0,y - 15)

    return (x,y)

#线条随机俩个坐标

def get_random_line_position(x,y):

    x1 = random.randint(0,x)

    y1 = random.randint(0,y)

    x2 = random.randint(0,x)

    y2 = random.randint(0,y)

    return (x1,y1,x2,y2)

def get_random_eci_position(x,y):

    x1 = random.randint(0,x)

    y1 = random.randint(0,y)

    x2 = x1 + 4

    y2 = y1 + 4

    return (x1,y1,x2,y2)

#随机字符

def get_random_str():

    num = str(random.randint(0,9))

    low_letter = chr(random.randint(97,122))

    upper_letter = chr(random.randint(65,90))

    #print(num,low_letter,upper_letter)

    randomStr = random.choice([num,low_letter,upper_letter])

    return randomStr

x = 200

y = 60

#创建一个随机颜色的图形

img = Image.new('RGB',(x,y),get_random_color())

#在图形上随机位置显示4个随机颜色的文字

draw = ImageDraw.Draw(img)

font = ImageFont.truetype('segoeuib.ttf',20)

randomStr = ''

for i in range(4):

    v = get_random_str()

    randomStr += v

#print(randomStr)

draw.text(get_random_position(x,y),randomStr,get_random_color(),font = font)

#在图形上随机位置显示随机颜色的直线

for i in range(8):

    draw.line(get_random_line_position(x,y),get_random_color())

    draw.ellipse(get_random_eci_position(x,y),get_random_color())

    draw.arc(get_random_line_position(x,y),0,90,get_random_color())

img.show()

执行效果如下：

aaarticlea/png;base64,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" alt="" />

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