Python Detect Charecter Tesseract OCR使用pytesseract为文本创建斑点

Question

我正在研究tesseract，并为图像中的字符创建了框文件。 在命令行上使用tesseract，它已检测到字符并在框文件中显示了每个检测到的字符的位置。

这是命令行输出。

/Desktop $ tesseract spa.arial.first_page.tif spa.arial.box nobatch 

box.train .stderr
read_params_file: Can't open .stderr
Tesseract Open Source OCR Engine v4.0.0-146-gc39a with Leptonica
Page 1
Detected 74 diacritics
row xheight=2, but median xheight = 17.4815
row xheight=2.5, but median xheight = 17.4815
row xheight=91, but median xheight = 17.4815
row xheight=2.5, but median xheight = 17.4815
row xheight=3, but median xheight = 17.4815
row xheight=61.875, but median xheight = 17.4815
row xheight=23, but median xheight = 17.4815
row xheight=3, but median xheight = 17.4815
row xheight=3, but median xheight = 17.4815
row xheight=12.8333, but median xheight = 17.4815
row xheight=15.1282, but median xheight = 17.4815
row xheight=3.5, but median xheight = 17.4815
row xheight=3.5, but median xheight = 17.4815
row xheight=3.5, but median xheight = 17.4815
row xheight=628, but median xheight = 17.4815
row xheight=415.5, but median xheight = 17.4815
row xheight=4, but median xheight = 17.4815
row xheight=630, but median xheight = 17.4815
FAIL!
APPLY_BOXES: boxfile line 7/A ((286,1979),(325,2002)): FAILURE! Couldn't find a matching blob
APPLY_BOXES: boxfile line 11/U ((199,1943),(239,1967)): FAILURE! Couldn't find a matching blob
APPLY_BOXES: boxfile line 14/R ((298,1943),(323,1967)): FAILURE! Couldn't find a matching blob
APPLY_BOXES: boxfile line 16/M ((325,1943),(360,1967)): FAILURE! Couldn't find a matching blob
FAIL!
APPLY_BOXES: boxfile line 1611/a ((849,451),(875,480)): FAILURE! Couldn't find a matching blob
FAIL!
APPLY_BOXES: boxfile line 1617/5 ((947,457),(973,480)): FAILURE! Couldn't find a matching blob
FAIL!
APPLY_BOXES: boxfile line 1622/. ((1038,457),(1042,460)): FAILURE! Couldn't find a matching blob
FAIL!
APPLY_BOXES: boxfile line 1839/a ((679,280),(705,303)): FAILURE! Couldn't find a matching blob
APPLY_BOXES: boxfile line 1860/u ((1030,274),(1063,304)): FAILURE! Couldn't find a matching blob
FAIL!
APPLY_BOXES: boxfile line 1865/p ((1113,274),(1133,304)): FAILURE! Couldn't find a matching blob
FAIL!
APPLY_BOXES: boxfile line 1876/a ((1303,275),(1329,302)): FAILURE! Couldn't find a matching blob
FAIL!
APPLY_BOXES: boxfile line 1879/, ((1362,275),(1365,282)): FAILURE! Couldn't find a matching blob
APPLY_BOXES: boxfile line 1886/c ((1467,278),(1494,301)): FAILURE! Couldn't find a matching blob
APPLY_BOXES: boxfile line 1889/d ((1542,277),(1551,300)): FAILURE! Couldn't find a matching blob
APPLY_BOXES: boxfile line 1892/h ((1569,277),(1595,300)): FAILURE! Couldn't find a matching blob
APPLY_BOXES: boxfile line 1895/c ((619,245),(645,268)): FAILURE! Couldn't find a matching blob
APPLY_BOXES: boxfile line 1910/n ((888,245),(920,262)): FAILURE! Couldn't find a matching blob
APPLY_BOXES: boxfile line 1911/l ((941,245),(949,267)): FAILURE! Couldn't find a matching blob
APPLY_BOXES: boxfile line 1913/e ((981,239),(997,267)): FAILURE! Couldn't find a matching blob
APPLY_BOXES: Unlabelled word at :Bounding box=(133,887)->(1631,893)
APPLY_BOXES: Unlabelled word at :Bounding box=(132,569)->(1631,575)
APPLY_BOXES: Unlabelled word at :Bounding box=(132,484)->(1631,491)
APPLY_BOXES: Unlabelled word at :Bounding box=(1408,418)->(1470,479)
APPLY_BOXES: Unlabelled word at :Bounding box=(132,413)->(1630,420)
APPLY_BOXES: Unlabelled word at :Bounding box=(1238,346)->(1415,400)
APPLY_BOXES: Unlabelled word at :Bounding box=(1408,359)->(1476,425)
APPLY_BOXES: Unlabelled word at :Bounding box=(133,341)->(1628,348)
APPLY_BOXES: Unlabelled word at :Bounding box=(133,205)->(137,1461)
APPLY_BOXES: Unlabelled word at :Bounding box=(598,203)->(602,1034)
APPLY_BOXES: Unlabelled word at :Bounding box=(133,200)->(1629,208)
APPLY_BOXES: Unlabelled word at :Bounding box=(1628,200)->(1633,1460)
   Found 1698 good blobs.
   Leaving 59 unlabelled blobs in 0 words.
   21 remaining unlabelled words deleted.
Generated training data for 353 words

我想为每个检测到的斑点绘制斑点（框），我已经搜索了但未能获得参考。 谁能帮助我在创建文件的图像上绘制斑点。

我已经尝试在python代码下面使用pytesseract绘制文本的斑点

import cv2
import pytesseract

file = '/home/Desktop/second_page.png'

img = cv2.imread(file)
h, w, _ = img.shape

boxes = pytesseract.image_to_boxes(img)

for b in boxes.splitlines():
    b = b.split(' ')
    img = cv2.rectangle(img, (int(b[1]), h - int(b[2])), (int(b[3]), h - int(b[4])), (0, 255, 0), 2)

cv2.imshow(filename, img)
cv2.waitKey(0)

输出得到：

Answer 1

要获得全面的了解，请尝试使用链接 https://www.pyimagesearch.com/2017/07/10/using-tesseract-ocr-python/

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)

我建议您从上面提供的链接中更好地理解。

使用pytesseract和image_to_boxes方法获取字符及其在图像中的位置：

ret = pt.image_to_boxes(pil_img)

结果是一个字符串，其中每一行都是一个字符，并且它的位置（x1，y1，X2，y2）之间用空格隔开：

a 30 10 45 20
b 49 12 54 23