python 验证码去除粗的干扰曲线

Question

图1需要处理的验证码，里面包含细小圆圈噪点，和字母相差不多的曲线
灰度化，二值化处理之后得到图2

百度的OCR接口调用识别还是错误

接下来可以如何处理粗曲线呢？或者突出让验证码的边界更明显？

以下为代码

from PIL import Image
import numpy as np
from aip import AipOcr
import re,requests


APP_ID=''     #这部分隐藏了
API_KEY=''
SECRET_KEY=''
client = AipOcr(APP_ID,API_KEY,SECRET_KEY)

def get_neighbor(W, H, WIDTH, HEIGH):
    neighbor = []
    for w in range(W - 1, W + 2):
        for h in range(H - 1, H + 2):
            # 边界判断
            if (w >= 0 and w < WIDTH and h >= 0 and h < HEIGH):
                neighbor.append((w, h))
            else:
                continue
    return neighbor

im = Image.open('C:/Users/1/Desktop/2.png').convert('L')
W,H=im.size
im =im.point((lambda x:255 if x >180 else 0), '1')
im.show()
neighbor = None
for w in range(W):
    for h in range(H):
        if (im.getpixel((w, h)) == 0):
            neighbor = get_neighbor(w, h, W, H)
            pixel = []
            for nei in neighbor:
                pixel.append(im.getpixel(nei))
                num_0 = pixel.count(0)
            if (num_0 / 8) > 0.25:     
                im.putpixel((w, h), 0)
            else:
                im.putpixel((w, h), 255)

im.show()

im.save('C:/Users/1/Desktop/3.png')
with open(r"C:/Users/1/Desktop/3.png","rb") as f:
    imag=f.read()
data=client.basicAccurate(imag)
data=str(data) 
print(data)
numregex = re.compile(r"{'words': '(.*)'}")
mo = numregex.search(data)
print(mo.group(1))

Answer 1

不会图像处理
直觉上是不是可以通过颜色范围分一个k-means然后对每个颜色单独识别组合