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。