Yes I apply various image filtering process on image and also go through the OpenAlpr project site. But I have to create my own alpr project so I need this code.
On Tue 22 Oct, 2019, 9:27 PM Timothy Snyder, <[email protected]> wrote: > 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 > <https://groups.google.com/d/msgid/tesseract-ocr/CABtjQ9LCxWLjhdvf91uYDgayHhH3P9QZUPU8-%2BwYm0aveknR4g%40mail.gmail.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/CABmtgLZkbEp4b3KmK6EBZOU0PiBZGSKhzeF3huB5eubkj4ftQg%40mail.gmail.com.
