一个普通的验证码识别程序
环境:python3
依赖:pillow,requests
使用: 首先应该修改python_getpic.py文件中相关的路径名(下载验证码存放路径),因为本人用的是自己电脑的路径。
运行然运行python_recognize.py
十分简单,150行代码配合注释应该也不算难理解
我的识别结果正确率大概在97%左右。
一个普通的验证码识别程序
代码逻辑很清楚,但是算法的原理是啥啊?另外如果想继续研究有什么推荐资料吗?
关于数字向量模型是怎样计算的?
[0, 79]
something wrong
Traceback (most recent call last):
File "python_recognize.py", line 147, in
recognize_picture(p,i)
File "python_recognize.py", line 90, in recognize_picture
sta2=z[2]
IndexError: list index out of range
如题:用特征向量的方式直接识别
something wrong
Traceback (most recent call last):
File "e:\01.Projects\identfying_code_recognize-master\python_recognize.py", line 147, in
recognize_picture(p,i)
File "e:\01.Projects\identfying_code_recognize-master\python_recognize.py", line 111, in recognize_picture
if pix3[int(x3*2),y3] == 0:
IndexError: image index out of range
识别了0张验证码 正确率为0.0%
if pix3[int(x3 * 2), y3] == 0:
IndexError: image index out of range
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