Python 2.7 如何获取pytesseract中的字符位置

我正在尝试使用pytesseract库获取图像文件的字符位置

import pytesseract
from PIL import Image
print pytesseract.image_to_string(Image.open('5.png'))

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是否有任何库可用于使用PyteSeract获取角色的每个位置？拥有该位置似乎不是最好的主意，但您可以这样做：

from pytesseract import pytesseract
pytesseract.run_tesseract('image.png', 'output', lang=None, boxes=False, config="hocr")

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角色的位置可以如下所示

import csv
import cv2
from pytesseract import pytesseract as pt

pt.run_tesseract('bw.png', 'output', lang=None, boxes=True, config="hocr")

# To read the coordinates
boxes = []
with open('output.box', 'rb') as f:
    reader = csv.reader(f, delimiter = ' ')
    for row in reader:
        if(len(row)==6):
            boxes.append(row)

# Draw the bounding box
img = cv2.imread('bw.png')
h, w, _ = img.shape
for b in boxes:
    img = cv2.rectangle(img,(int(b[1]),h-int(b[2])),(int(b[3]),h-int(b[4])),(255,0,0),2)

cv2.imshow('output',img)

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使用此方法时，可能会遗漏一些文本。这需要对图像进行一些预处理（即背景减法）才能获得更好的结果。

是否尝试使用pytesseract.image\u to\u data（）

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您可以使用下面的脚本将每个字符保存为图像，这是针对python 3.6的+

import cv2
import pytesseract 
import numpy
import time
from PIL import ImageGrab

path_to_save = "img_out/"
img = cv2.imread("image_INAUTXQ_www.facebook.com.png")
img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)

hImg, wImg,_ = img.shape
boxes = pytesseract.image_to_boxes(img)
ROI_number=0
for b in boxes.splitlines():
    b = b.split(' ')
    x, y, w, h = int(b[1]), int(b[2]), int(b[3]), int(b[4])
    # cv2.rectangle(img, (x,hImg- y), (w,hImg- h), (50, 50, 255), 1)
    x1,y1=hImg-h,hImg-y
    x2,y2=x,w
    roi=img[x1:y1,x2:y2]
    output = cv2.resize(roi,(300,300))
    # cv2.imshow('roi', roi)
    # cv2.imshow('img',img)
    # cv2.waitKey(0)
    cv2.imwrite("test"+str(ROI_number)+".jpeg",output)
    ROI_number+=1

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它不起作用。对于最新版本，请使用此

import cv2
import pytesseract 
import numpy
import time
from PIL import ImageGrab

path_to_save = "img_out/"
img = cv2.imread("image_INAUTXQ_www.facebook.com.png")
img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)

hImg, wImg,_ = img.shape
boxes = pytesseract.image_to_boxes(img)
ROI_number=0
for b in boxes.splitlines():
    b = b.split(' ')
    x, y, w, h = int(b[1]), int(b[2]), int(b[3]), int(b[4])
    # cv2.rectangle(img, (x,hImg- y), (w,hImg- h), (50, 50, 255), 1)
    x1,y1=hImg-h,hImg-y
    x2,y2=x,w
    roi=img[x1:y1,x2:y2]
    output = cv2.resize(roi,(300,300))
    # cv2.imshow('roi', roi)
    # cv2.imshow('img',img)
    # cv2.waitKey(0)
    cv2.imwrite("test"+str(ROI_number)+".jpeg",output)
    ROI_number+=1