python3 pillow模块实现简单验证码
(编辑:jimmy 日期: 2024/11/20 浏览:3 次 )
本文实例为大家分享了python3 pillow模块验证码的具体代码,供大家参考,具体内容如下
直接放代码吧,该写的注释基本都写了
# -*- coding: utf-8 -*- # __author__: Pad0y from PIL import Image, ImageDraw, ImageFont from random import choice, randint, randrange import string # 候选字符集,大小写字母+数字 chrs = string.ascii_letters + string.digits def selected_chrs(length): """ 返回length个随机字符串 :param length: :return: """ result = ''.join(choice(chrs) for _ in range(length)) return result def get_color(): """ 设置随机颜色 :return: """ r = randint(0, 255) g = randint(0, 255) b = randint(0, 255) return (r, g, b) def main(size=(200, 100), chrNumber=6, bgcolor=(255, 255, 255)): """ 定义图片大小,验证码长度,背景颜色 :param size: :param chrNumber: :param bgcolor: :return: """ # 创建空白图像和绘图对象 image_tmp = Image.new('RGB', size, bgcolor) draw = ImageDraw.Draw(image_tmp) # 生成并计算随机字符的宽度和高度 text = selected_chrs(chrNumber) font = ImageFont.truetype('c:\\windows\\fonts\\Roboto-Regular.ttf', 48) # 选定一款系统字体 width, height = draw.textsize(text, font) if width + 2*chrNumber > size[0] or height > size[1]: print('Size Error!') return # 绘制字符串 startX = 0 width_eachchr = width // chrNumber # 计算每个字符宽度 for i in range(chrNumber): startX += width_eachchr + 1 position = (startX, (size[1]-height)//2+randint(-10, 10)) # 字符坐标, Y坐标上下浮动 draw.text(xy=position, text=text[i], font=font, fill=get_color()) # 绘制函数 # 对像素位置进行微调,实现验证码扭曲效果 img_final = Image.new('RGB', size, bgcolor) pixels_final = img_final.load() pixels_tmp = image_tmp.load() for y in range(size[1]): offset = randint(-1, 0) # randint()相当于闭区间[x,y] for x in range(size[0]): newx = x + offset # 像素微调 if newx >= size[0]: newx = size[0] - 1 elif newx < 0: newx = 0 pixels_final[newx, y] = pixels_tmp[x, y] # 绘制随机颜色随机位置的干扰像素 draw = ImageDraw.Draw(img_final) for i in range(int(size[0]*size[1]*0.07)): # 7%密度的干扰像素 draw.point((randrange(size[0]), randrange(size[1])), fill=get_color()) # randrange取值范围是左开右闭 # 绘制随机干扰线,这里设置为8条 for i in range(8): start = (0, randrange(size[1])) end = (size[0], randrange(size[1])) draw.line([start, end], fill=get_color(), width=1) # 绘制随机弧线 for i in range(8): start = (-50, -50) # 起始位置在外边看起来才会像弧线 end = (size[0]+10, randint(0, size[1]+10)) draw.arc(start+end, 0, 360, fill=get_color()) # 保存图片 img_final.save('Veri_code.jpg') img_final.show() if __name__ == '__main__': main((200, 100), 6, (255, 255, 255))
效果图如下
以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持。
下一篇:Python使用Opencv实现图像特征检测与匹配的方法