如何在python中使用OCR从Image重新获得文本的坐标 [英] How to get the co-ordinates of the text recogonized from Image using OCR in python

问题描述

我正在尝试使用Tesseract从图像获取文本字符的坐标或位置. 我想知道确切的像素位置，以便可以使用其他工具单击该文本.

I am trying to get the coordinates or positions of text character from an Image using Tesseract. I want to know the exact pixel position, so that i can click that text using some other tool.

import pytesseract
from pytesseract import pytesseract
import PIL
from PIL import Image
import cv2
import csv

img = 'E:\\OCR-DATA\\sample.jpg'
imge = Image.open(img)
    data=pytesseract.image_to_string(imge,lang='eng',boxes=True,config='hocr')

print(data)

data包含具有框边界值的可识别文本.但是我不确定如何使用该边界值获取文本的坐标.

data contains recognized text with box boundary value. But i am not sure , how to use that boundary value to get the co-ordinates of the text.

data变量的值如下:

O 100 356 115 373 0

u 117 356 127 368 0

t 130 356 138 372 0

p 141 351 152 368 0

u 154 356 164 368 0

t 167 356 175 371 0

推荐答案

每行都有边界框的坐标.

You have the coordinates of the bounding box in every line.

来自:培训Tesseract –制作盒子文件

字符，左，下，右，上，页

character, left, bottom, right, top, page

因此，对于每个字符，您都会获得该字符，然后是其边界框字符，然后是从0开始的页码.

So for each character you get the character, followed by its bounding box characters, followed by the 0-based page number.

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