Yes you're going to have to do a significant amount of image processing to transform those license plates into straight black text on a white background. Have you tried out the OpenALPR project?
On Tue, Oct 22, 2019 at 4:00 AM Sangharsh Kamble <[email protected]> wrote: > [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. > > > > > -- > You received this message because you are subscribed to the Google Groups > "tesseract-ocr" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to [email protected]. > To view this discussion on the web visit > https://groups.google.com/d/msgid/tesseract-ocr/b234e604-c0e7-4893-80b0-989a4ceeee13%40googlegroups.com > <https://groups.google.com/d/msgid/tesseract-ocr/b234e604-c0e7-4893-80b0-989a4ceeee13%40googlegroups.com?utm_medium=email&utm_source=footer> > . > -- You received this message because you are subscribed to the Google Groups "tesseract-ocr" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/tesseract-ocr/CABtjQ9LCxWLjhdvf91uYDgayHhH3P9QZUPU8-%2BwYm0aveknR4g%40mail.gmail.com.
