TensorFlow项目实战：验证码识别

windows系统下搭建tensorflow开发环境，参见：

1.生成验证码：

首先建立captchaIdentify.py,captchaIdentify.py的主要功能是生成字符验证码并使用matplot绘制出来，它的源代码如下：

import tensorflow as tf
from captcha.image import ImageCaptcha
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image
import random

number = ['0','1','2','3','4','5','6','7','8','9']
alphabet = ['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z']
ALPHABET = ['A','B','C','D','E','F','G','H','I','J','K','L','M','N','O','P','Q','R','S','T','U','V','W','X','Y','Z']

def random_captcha_text(char_set=number+alphabet+ALPHABET, captcha_size=4):
captcha_text = []
for i in range(captcha_size):
c = random.choice(char_set)
captcha_text.append(c)
return captcha_text

def gen_captcha_text_and_image():
image = ImageCaptcha()

captcha_text = random_captcha_text()
captcha_text = ''.join(captcha_text)

captcha = image.generate(captcha_text)
#image.write(captcha_text, captcha_text + '.jpg')

captcha_image = Image.open(captcha)
captcha_image = np.array(captcha_image)
return captcha_text, captcha_image
if __name__ == '__main__':
text, image = gen_captcha_text_and_image()

f = plt.figure()
ax = f.add_subplot(111)
ax.text(0.1, 0.9,text, ha='center', va='center', transform=ax.transAxes)
plt.imshow(image)

plt.show() 代码中需要注意，from captcha.image import ImageCaptcha，因为是验证码识别，所以需要安装captcha框架。下面展示如何在anaconda中安装captcha库，打开Anaconda Prompot输入命令：pip install captcha（正常情况下，anconda中安装是输入conda install captcha命令，但是anaconda中找不到captcha库，所以采用pip安装）。



右键run as-->python run,可以看到生成的验证码如下图所示：



captcha_text = random_captcha_text()
captcha_text = ''.join(captcha_text) gen_captcha_text_and_image()函数中这两句讲随机生成字符列表转换为字符串。