# import cv2 | |
import os | |
import pytesseract | |
from IdentifyModel.cardModel import parse_id_card | |
from Preprocess.preprocessImg import preprocess_image001 | |
def ocr_recognition(image, validation_type, language): | |
try: | |
custom_config = r'--oem 3 --psm 6' | |
text = pytesseract.image_to_string(image, lang=language, config=custom_config) | |
return parse_id_card(text, validation_type) | |
except Exception as e: | |
return str(e) | |
# def ocr_recognition_2(image: str, lang: str = 'chi_tra') -> str: | |
# try: | |
# img = cv2.imread(image) | |
# gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) | |
# threshold_img = cv2.threshold(gray, 127, 255, cv2.THRESH_TOZERO)[1] | |
# result = pytesseract.image_to_string(threshold_img, lang=lang) | |
# os.remove(image) | |
# return result | |
# except Exception as e: | |
# return str(e) | |