Python验证码识别处理实例
一、准备工作与代码实例
(1)安装PIL：下载后是一个exe，直接双击安装，它会自动安装到C:\Python27\Lib\site-packages中去，
(2)pytesser：下载解压后直接放C:\Python27\Lib\site-packages(根据你安装的Python路径而不同)，同时，新建一个pytheeer.pth,内容就写pytesser，注意这里的内容一定要和pytesser这个文件夹同名，意思就是pytesser文件夹，pytesser.pth,及内容都要一样！
(3)Tesseract OCR engine下载：下载后解压，tessdata文件夹，用其替换掉pytesser解压后的tessdata文件夹即可。
二、验证
（1）原理：
验证码图像处理
验证码图像识别技术主要是操作图片内的像素点,通过对图片的像素点进行一系列的操作,最后输出验证码图像内的每个字符的文本矩阵。
- 1、读取图片
- 2、图片降噪
- 3、图片切割
- 4、图像文本输出
（2）验证字符识别
验证码内的字符识别主要以机器学习的分类算法来完成,目前我所利用的字符识别的算法为KNN(K邻近算法)和SVM (支持向量机算法),后面我 会对这两个算法的适用场景进行详细描述。
- 1、获取字符矩阵
- 2、矩阵进入分类算法
- 3、输出结果
要验证的图片如下：
（3）、简单的命令：
from pytesser import *
image = Image.open('1.jpg') # Open image object using PIL
print image_to_string(image) # Run tesseract.exe on image
然后运行：
或者直接：
print image_file_to_string('fnord.tif')
同样能输出结果！
（4）、复杂一点的
上面的只能对一些比较简单的做处理，一
原理：彩色转灰度，灰度转二值，二值图像识别
# 验证码识别，此程序只能识别数据验证码
import Image
import ImageEnhance
import ImageFilter
import sys
from pytesser import *
# 二值化
threshold = 140
table = []
for i in range(256):
if i < threshold:
table.append(0)
else:
table.append(1)
#由于都是数字
#对于识别成字母的 采用该表进行修正
rep={'O':'0',
'I':'1','L':'1',
'Z':'2',
'S':'8'
};
def getverify1(name):
#打开图片
im = Image.open(name)
#转化到灰度图
imgry = im.convert('L')
#保存图像
imgry.save('g'+name)
#二值化，采用阈值分割法，threshold为分割点
out = imgry.point(table,'1')
out.save('b'+name)
#识别
text = image_to_string(out)
#识别对吗
text = text.strip()
text = text.upper();
for r in rep:
text = text.replace(r,rep[r])
#out.save(text+'.jpg')
print text
return text
getverify1('1.jpg') #注意这里的图片要和此文件在同一个目录，要不就传绝对路径也行
运行后效果：
以上就是本文的全部内容，希望对大家的学习有所帮助。
Hot AI Tools
Undresser.AI Undress
AI-powered app for creating realistic nude photos
AI Clothes Remover
Online AI tool for removing clothes from photos.
Undress AI Tool
Undress images for free
Clothoff.io
AI clothes remover
Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!
Hot Article
Hot Tools
Notepad++7.3.1
Easy-to-use and free code editor
SublimeText3 Chinese version
Chinese version, very easy to use
Zend Studio 13.0.1
Powerful PHP integrated development environment
Dreamweaver CS6
Visual web development tools
SublimeText3 Mac version
God-level code editing software (SublimeText3)
Hot Topics
1664
14
1423
52
1321
25
1269
29
1249
24
PHP and Python: Different Paradigms Explained
Apr 18, 2025 am 12:26 AM
PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.
Choosing Between PHP and Python: A Guide
Apr 18, 2025 am 12:24 AM
PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.
How to run sublime code python
Apr 16, 2025 am 08:48 AM
To run Python code in Sublime Text, you need to install the Python plug-in first, then create a .py file and write the code, and finally press Ctrl B to run the code, and the output will be displayed in the console.
PHP and Python: A Deep Dive into Their History
Apr 18, 2025 am 12:25 AM
PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.
Python vs. JavaScript: The Learning Curve and Ease of Use
Apr 16, 2025 am 12:12 AM
Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.
Golang vs. Python: Performance and Scalability
Apr 19, 2025 am 12:18 AM
Golang is better than Python in terms of performance and scalability. 1) Golang's compilation-type characteristics and efficient concurrency model make it perform well in high concurrency scenarios. 2) Python, as an interpreted language, executes slowly, but can optimize performance through tools such as Cython.
Where to write code in vscode
Apr 15, 2025 pm 09:54 PM
Writing code in Visual Studio Code (VSCode) is simple and easy to use. Just install VSCode, create a project, select a language, create a file, write code, save and run it. The advantages of VSCode include cross-platform, free and open source, powerful features, rich extensions, and lightweight and fast.
How to run python with notepad
Apr 16, 2025 pm 07:33 PM
Running Python code in Notepad requires the Python executable and NppExec plug-in to be installed. After installing Python and adding PATH to it, configure the command "python" and the parameter "{CURRENT_DIRECTORY}{FILE_NAME}" in the NppExec plug-in to run Python code in Notepad through the shortcut key "F6".
