我正在使用pytesseract,pillow,cv 2来OCR图像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。我只完成了一半。输入是一个表格,标题没有显示,因为标题有一个黑色的背景。我也试过getstructuringelement
,但无法找出一个方法。这是我所做的,直到现在-
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。黑色背景的区域没有被OCR识别,也没有被提取为文本。任何帮助都将非常感谢。x1c 0d1x
输出此代码的图像样本-
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1条答案
按热度按时间kknvjkwl1#
在cv2.imwrite(temp_filename,gray_img)之后使用cv2是好的
这将从表图像返回良好的数据