本文介绍了从图像中提取特定的文本关联值的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我有一张图片,我想从图片中提取键和值对的详细信息.
I have an image, and from the image I want to extract key and value pair details.
例如,我要提取"MASTER-AIRWAYBILL NO:"的值
As an example, I want to extract the value of "MASTER-AIRWAYBILL NO:"
我已经写过使用python opencv和OCR从图像中提取整个文本的方法,但是我不知道如何从图像的整个结果文本中提取"MASTER-AIRWAYBILL NO:"的值
I have written to extract the entire text from the image using python opencv and OCR, but I don't have any clue how to extract only the value for "MASTER-AIRWAYBILL NO:" from the entire result text of the image.
请找到代码:
import cv2
import numpy as np
import pytesseract
from PIL import Image
print ("Hello")
src_path = "C:\\Users\Venkatraman.R\Desktop\\alpha_bill.jpg"
pytesseract.pytesseract.tesseract_cmd = r"C:\Program Files (x86)\Tesseract-OCR\tesseract.exe"
print (src_path)
# Read image with opencv
img = cv2.imread(src_path)
# Convert to gray
img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# Apply dilation and erosion to remove some noise
kernel = np.ones((1, 1), np.uint8)
img = cv2.dilate(img, kernel, iterations=1)
img = cv2.erode(img, kernel, iterations=1)
# Write image after removed noise
cv2.imwrite(src_path + "removed_noise.png", img)
# Apply threshold to get image with only black and white
#img = cv2.adaptiveThreshold(img, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 31, 2)
# Write the image after apply opencv to do some ...
cv2.imwrite(src_path + "thres.png", img)
# Recognize text with tesseract for python
result = pytesseract.image_to_string(Image.open(src_path + "thres.png"))
# Remove template file
#os.remove(temp)
print ('--- Start recognize text from image ---')
print (result)
所以输出应该像这样:
推荐答案
您可以使用pytesseract
image_to_string( )和 regex 提取所需的文本,即:
You can use pytesseract
image_to_string() and a regex to extract the desired text, i.e.:
from PIL import Image
import pytesseract, re
f = "ocr.jpg"
t = pytesseract.image_to_string(Image.open(f))
m = re.findall(r"MASTER-AIRWAYBILL NO: [\d—-]+", t)
if m:
print(m[0])
输出:
Output:
MASTER-AIRWAYBILL NO: 157—46637194
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