从模糊图像中获取文本

Question

我想从下图中连同字段一起提取 Passport number, Name, Nationality, date of birth 之类的信息：

我能够提取 Name, Passport number, date of birth，但无法获取属性（红色下划线），因为它非常模糊。 我正在使用以下方法：

def data_extraction_with_cleaning_v2(path, file_name, threshold, preprocess_resize, filtering):
    """This function will do data extraction along with image preprocessing"""
    image = cv2.imread(path+file_name)
    
    ##change the image to gray scale
    gray = cv2.cvtColor(result, cv2.COLOR_BGR2GRAY)
    cv2.imshow("Output", gray)
    cv2.waitKey(0)
    # check to see if we should apply thresholding to preprocess the
    # image
    if threshold == "thresh":
        gray = cv2.threshold(gray, 0, 255,
                             cv2.THRESH_BINARY | cv2.THRESH_OTSU)[1]
    elif threshold == "adaptive":
        gray = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C,
                                     cv2.THRESH_BINARY, 31, 2)
    if preprocess_resize == "linear":
        gray = cv2.resize(gray, None, fx=2, fy=2,
                          interpolation=cv2.INTER_LINEAR)
    elif preprocess_resize == "cubic":
        gray = cv2.resize(gray, None, fx=2, fy=2,
                          interpolation=cv2.INTER_CUBIC)
    # make a check to see if blurring should be done to remove noise, first is
    # default median blurring
    if filtering == "blur":
        gray = cv2.medianBlur(gray, 3)
    elif filtering == "bilateral":
        gray = cv2.bilateralFilter(gray, 9, 75, 75)
    elif filtering == "gauss":
        gray = cv2.GaussianBlur(gray, (5, 5), 0)
    else:
        pass
    # write the grayscale image to disk as a temporary file so we can
    # apply OCR to it
    filename = "{}.png".format(os.getpid())
    cv2.imwrite(filename, gray)
  
    text = pytesseract.image_to_string(Image.open(filename), lang='eng')
    text = re.sub(r'[^\da-zA-Z0-9_() \n]+', '', text)
    # text = text.replace('\n', ' ')
    # add +hin after eng within the same argument to extract hindi specific
    # text - change encoding to utf-8 while writing
    os.remove(filename)
    # writing extracted data into a text file
    text_output = open('outputbase1.txt', 'w', encoding='utf-8')
    text_output.write(text)
    text_output.close()
    file = open('outputbase1.txt', 'r', encoding='utf-8')
    text = file.read()
    # print(text)
    # Cleaning all the gibberish text
    text = ftfy.fix_text(text)
    text = ftfy.fix_encoding(text)
    return text

text_passport_can = data_extraction_with_cleaning_v2(path,'image.jpg','thresh','linear','blur')

有什么办法可以清除这个模糊的文字并提取出来。