python 写个拉动图片吻合的验证码

要实现一个拉动图片吻合的验证码,需要以下步骤:

  1. 生成随机验证码图片
  2. 生成与验证码图片相对应的背景图片
  3. 将背景图片和验证码图片合并
  4. 随机生成一组坐标,用于将验证码图片进行切割
  5. 将切割后的验证码图片显示在页面上
  6. 监听用户输入,判断是否与正确的验证码匹配

以下是一个简单的 Python 实现:

pythonimport random
import string
from PIL import Image, ImageDraw

# 生成随机验证码图片
def generate_code_image(width, height, code):
img = Image.new('RGB', (width, height), (255, 255, 255))
draw = ImageDraw.Draw(img)
draw.text((10, 10), code, font=ImageFont.truetype('arial.ttf', 36), fill=(0, 0, 0))
return img

# 生成与验证码图片相对应的背景图片
def generate_background_image(width, height):
img = Image.new('RGB', (width, height), (255, 255, 255))
draw = ImageDraw.Draw(img)
for i in range(random.randint(5, 10)):
x1 = random.randint(0, width // 2)
y1 = random.randint(0, height // 2)
x2 = random.randint(width // 2, width)
y2 = random.randint(height // 2, height)
draw.line((x1, y1, x2, y2), fill=(0, 0, 0), width=2)
return img

# 将背景图片和验证码图片合并
def merge_images(background_img, code_img):
width = background_img.width + code_img.width
height = max(background_img.height, code_img.height)
result = Image.new('RGB', (width, height), (255, 255, 255))
result.paste(background_img, (0, 0))
result.paste(code_img, (background_img.width, 0))
return result

# 随机生成一组坐标,用于将验证码图片进行切割
def generate_coords(width, height):
x1 = random.randint(0, width // 2 - 10)
y1 = random.randint(0, height // 2 - 10)
x2 = random.randint(width // 2 + 10, width)
y2 = random.randint(height // 2 + 10, height)
return (x1, y1, x2, y2)

# 将切割后的验证码图片显示在页面上
def show_code_image(code_img):
code_img.show()

# 监听用户输入,判断是否与正确的验证码匹配
def check_code(user_input, correct_code):
return user_input == correct_code

# 主程序
if __name__ == '__main__':
# 生成随机的验证码和背景图片
code = ''.join(random.choices(string.ascii_uppercase + string.digits, k=4))
background_img = generate_background_image(400, 100)
code_img = generate_code_image(200, 50, code)
# 将验证码图片和背景图片合并
merge_img = merge_images(background_img, code_img)
# 显示合并后的图片并等待用户输入
show_code_image(merge_img)
user_input = input('请输入验证码:')

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转载自blog.csdn.net/ducanwang/article/details/131895052