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May 18, 2019 03:20
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remove some other colors for ocr, possible python package: imutils numpy opencv-python Pillow pytesseract
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from PIL import Image | |
import pytesseract | |
import cv2 | |
from os import listdir | |
from os.path import isfile, join | |
if __name__ == "__main__": | |
path = r'C:\Users\c\Downloads\ocr' | |
onlyfiles = [f for f in listdir(path) if isfile(join(path, f))] | |
pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract.exe' | |
for f in onlyfiles: | |
file = join(path, f) | |
img = cv2.imread(file,0) | |
#ret , thresh1 = cv2.threshold(img,36,0,cv2.THRESH_BINARY) | |
# Run canny edge detection on each channel | |
#edges = cv2.Canny(img, 200, 250) | |
#new_image = edges.copy() | |
ret , new_image = cv2.threshold(img,170,255,cv2.THRESH_BINARY_INV) | |
new_image = cv2.blur(new_image, (3, 3)) | |
#new_image = cv2.adaptiveThreshold(new_image,190,cv2.ADAPTIVE_THRESH_GAUSSIAN_C,cv2.THRESH_BINARY,11,2) | |
#new_image = cv2.bitwise_not(new_image); | |
file2 = join(path, 'out',f) | |
cv2.imwrite(file2, new_image) | |
text = pytesseract.image_to_string(new_image) | |
print(text) | |
#cv2.imshow(f, new_image) | |
#cv2.waitKey(0) | |
#break; |
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