【opencv学习笔记 30验证码的识别】

验证码的识别

import cv2 as cv
import numpy as np
from PIL import Image
import pytesseract as tess


def recognize_text():
    gray = cv.cvtColor(src, cv.COLOR_BGR2GRAY)
    ret, binary = cv.threshold(gray, 0, 255, cv.THRESH_BINARY_INV | cv.THRESH_OTSU)
    kernel = cv.getStructuringElement(cv.MORPH_RECT, (1, 2))
    # 形态学操作
    bin1 = cv.morphologyEx(binary, cv.MORPH_OPEN, kernel)
    kernel = cv.getStructuringElement(cv.MORPH_RECT, (2, 1))
    # 开操作去噪
    open_out = cv.morphologyEx(bin1, cv.MORPH_OPEN, kernel)
    cv.imshow("binary-image", open_out)

    cv.bitwise_not(open_out, open_out)
    textImage = Image.fromarray(open_out)
    # 识别
    text = tess.image_to_string(textImage)
    print("识别结果: %s" % text)


src = cv.imread("image30.png")
cv.namedWindow("input image", cv.WINDOW_AUTOSIZE)
cv.imshow("input image", src)
recognize_text()
cv.waitKey(0)

cv.destroyAllWindows()