如何从包含表格数据的图像中提取数据？

Question

我正在使用 pytesseract、pillow、cv2 对图像进行 OCR 并获取图像中的文本。由于我输入的是扫描的 PDF 文档，我首先将其转换为图像 (JPEG) 格式，然后尝试提取文本。我只走了一半。输入是一个表格，没有显示标题，因为标题有黑色背景。我也尝试过，getstructuringelement但无法想出办法。这是我迄今为止所做的-

import cv2
import os  
import numpy as np 
import pytesseract
#import pillow 

#Since scanned PDF can't be handled by pdf2image, convert the scanned PDF into a JPEG format using the below code- 
filename = path   
from pdf2image import convert_from_path 
pages = convert_from_path(filename, 500) for page in pages:
page.save("dest", 'JPEG')


imgname = "path" 
oriimg = cv2.imread(imgname,cv2.IMREAD_COLOR) 
cv2.imshow("original image", oriimg)
cv2.waitKey(0)


#img = cv2.resize(oriimg,None,fx=0.5,fy=0.5,interpolation=cv2.INTER_CUBIC) 
img = cv2.resize(oriimg,(700,1500),interpolation=cv2.INTER_AREA) 
#here length height  
cv2.imshow("lol", img) 
cv2.waitKey(0) 
cv2.imwrite("changed_dimensionsimgpath", img)


import PIL.Image  
image = cv2.imread(imgname,cv2.IMREAD_COLOR) 
grayedimg = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) grayedimg = 
cv2.threshold(grayedimg, 0, 255, cv2.THRESH_BINARY | cv2.THRESH_OTSU)[1] 
cv2.imwrite("H://newim.jpg", grayedimg)


pytesseract.pytesseract.tesseract_cmd = r"C:\Program Files (x86)\Tesseract- 
OCR\tesseract.exe"


text = pytesseract.image_to_string(PIL.Image.open("path"))
print(text)

我的输入表如下所示。具有黑色背景的区域未被 OCR 识别，也未被提取为文本。任何帮助将不胜感激。

图像样本的此代码的输出 -

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Answer 1

在 cv2.imwrite(temp_filename,gray_img) 之后使用 cv2 很好

import PIL.Image  
Use config='-psm 6'
page_str = image_to_string(Image.open(temp_filename), lang="eng", config='-psm 6')

这将从表格图像中返回良好的数据