[image: 2.jpeg]
[image: 4.jpeg]
[image: ALARM_ANPR_2019_09_26_00_09_48_0878_crop.jpg]
[image: ALARM_ANPR_2019_09_26_00_48_02_0976_crop.jpg]
import cv2
import numpy as np
from PIL import Image
import pytesseract
from scipy import ndimage
from scipy.ndimage import rotate
#from matplotlib import pyplot as plt
import allow_needed_values as anv
img = cv2.imread('path_to_image/1.jpg')
result = cv2.fastNlMeansDenoisingColored(img,None,10,10,7,21)
cv2.imshow("denoise",result)
gray = cv2.cvtColor(result, cv2.COLOR_RGB2GRAY)
cv2.imshow("gray image",gray)
gray = cv2.threshold(gray, 0, 255,cv2.THRESH_BINARY | cv2.THRESH_OTSU)[1]
cv2.imshow("threshold image", gray)
#cv2.waitKey(delay = 0)
#gray = cv2.medianBlur(gray, 3)
img = cv2.medianBlur(gray,3)
cv2.imshow("median blur", img)
#rot = rotate(img, -6, reshape=False)
#rotated= ndimage.rotate(img,-2)
#cv2.imshow("rotate image", rot)
#result = cv2.fastNlMeansDenoisingColored(img,None,20,10,7,21)
rot = rotate(img, -5, reshape=False)
cv2.imshow("rotate", rot)
tessdata_dir_config = "/usr/share/tesseract-ocr/4.00/tessdata/"
text=pytesseract.image_to_string(rot,lang='eng',config=tessdata_dir_config)
carReg = anv.catch_rectify_plate_characters(text)
print(carReg)
cv2.waitKey(delay = 0)
Here i write the code for number recognition from number plate images,but
the tessaract failed to recognize number. I have day light and night
images. in most of the case ocr failed on night images. also i apply
various filter filter for images clearing and also rotate the image angle
for some degree.
I upload the various sample images where tesseract ocr failed.
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