只是做个笔记 案例为实现想要的效果 (#^.^#)
import cv2 as cv
from PIL import Image
import pytesseract as tess
# opencv + Tesserct-ORC
def text():
gray = cv.cvtColor(src, cv.COLOR_BGR2GRAY)
ret, binary = cv.threshold(gray, 0, 255, cv.THRESH_BINARY_INV | cv.THRESH_OTSU)
# 去线
kernel = cv.getStructuringElement(cv.MORPH_RECT, (1, 2))
bin1 = cv.morphologyEx(binary, cv.MORPH_RECT, kernel)
kernel = cv.getStructuringElement(cv.MORPH_RECT, (2, 1))
bin2 = cv.morphologyEx(binary, cv.MORPH_RECT, kernel)
cv.imshow("binary", bin2)
cv.bitwise_not(bin2, bin2)
test_img = Image.fromarray(bin2)
# 识别图片中字
test = tess.image_to_string(test_img)
print("识别结果:%s"%test)
src = cv.imread("./../img/yanzheng/0.png")
cv.namedWindow("input img", cv.WINDOW_AUTOSIZE)
cv.imshow("input img", src)
text()
cv.waitKey(0)
cv.destroyAllWindows()