1、 首先安装 tesserocr 包， 具体的安装网上是有教程的， 在这里不详细讲

   链接地址: https://blog.csdn.net/chang995196962/article/details/91039138

import tesserocr
from PIL import Image
image = Image.open ("code.jpg")
result = tesserocr.image_to_text(image)

 

2、 降噪处理

# 降噪处理
import tesserocr
from PIL import Image
image = Image.open('code.jpg' )
image = image.convert ("L")
threshold = 127
table = []
for i in range(256):
    if i < threshold:
        table.append(0)
    else:
        table.append(1)
# image.show()
image = image.point(table, '1')
result = tesserocr.image_to_text(image)
print(result)

3、验证码不用  tesserocr的 降噪处理， 这个降噪就是改变 rgb 的值， 这里面是那个127， 自己调整吧，自己识别

import pytesseract
from PIL import Image
from io import BytesIO


def get_captch(captcha_content):
    """
    简单验证码的识别
    :param captcha_content: 传输过来的保证以字节的方式传输
    :return:
    """
    image = Image.open(BytesIO(captcha_content))
    # 转化为灰度图
    imgry = image.convert('L')
    table = [0 if i < 127 else 1 for i in range(256)]
    # 使字体更加突出的显示
    out = imgry.point(table, '1')
    # out.show()
    captcha = pytesseract.image_to_string(out)
    captcha = captcha.strip()
    captcha = captcha.upper()
    print(captcha)


if __name__ == '__main__':
    with open("code.jpg", "rb") as f:
        captcha_content = f.read()
    get_captch(captcha_content)

 

4、 https://github.com/xugaopeng1/cnn_captcha 这个是很好的网站， 以后自己要研究一下， 我也不会， 哈哈哈

import cv2
import numpy as np
import pytesseract
from PIL import Image
from io import BytesIO


def writ_cv():
    img = cv2.imread(r'Y:\xugaopeng\test\cnn_captcha-master\sample\local\8.jpg')
    h, w, c = img.shape
    for i in range(h):
        for j in range(w):
            if np.var(img[i, j, :]) < 500:
                img[i, j, :] = 255

    # cv2.imshow('img', img)
    # cv2.waitKey(0)
    cv2.imwrite(r'Y:\xugaopeng\test\cnn_captcha-master\sample\local\9.jpg', img)


def get_captch(captcha_content):
    """
    简单验证码的识别
    :param captcha_content: 传输过来的保证以字节的方式传输
    :return:
    """
    image = Image.open(BytesIO(captcha_content))
    # 转化为灰度图
    imgry = image.convert('L')
    table = [0 if i < 110 else 1 for i in range(256)]
    # 使字体更加突出的显示
    out = imgry.point(table, '1')
    out.show()
    captcha = pytesseract.image_to_string(out)
    captcha = captcha.strip()
    captcha = captcha.upper()
    print(captcha)


if __name__ == '__main__':
    r_img = r'66.jpg'
    img_file = open(r_img, 'rb').read()
    get_captch(img_file)
    # writ_cv()