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。由于我的输入是扫描的PDF文档，我首先将其转换为图像（JPEG）格式，然后尝试提取文本。我只在那里一半。输入是一个表格，标题没有显示，因为标题有黑色背景。我也试过getstructuringelement但无法找到方法。这是我到目前为止所做的事情 -

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识别而不被提取为文本。任何帮助将不胜感激.

输出图像样本的代码 -

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Answer 1

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

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

Answer 2

有许多开源语言特定的库充当表提取器，有一个主要限制，仅适用于文本pdf。

ExtractTable由AI驱动，用于检测图像和SCAN PDF中的表格结构，允许开发人员通过API解析表格。这为开发人员提供了主要优势，可以不用担心列或表区域的坐标，旋转图像等。