On Saturday, 28 September 2019 11:36:33 UTC+5:30, irtmem intellect wrote:
>
> Hi ,
>
>
> How to get each cell of a table detected as a block , and then the
> embedded text can be read, This works in tesserocr with RIL.BLOCK level
> parameter when the tables have inner and outer borders.
>
> But for a table without borders we are not getting the similar output.. We
> get single row/multiple rows or columns in a single block,
>
> The images are attached .
>
>
> Regards,
>
Please find attached the code samples
1. test3.py - Using tesserocr to read blocks within a table.--
tesser-ocr-output.txt is the output
2. Image2data.py - Using pytesseract Image2Data to read data with in a
table.-- 3-res1.csv is the output
>From the output it is very clear that the data in blocks does not follow
any order/consistency. Few blocks have one cell data and few have more
than one. cell blocks as per tesseract OCR.
If we are able to get one cell data in a single block ,, then it is useful
for us. Is there any configuration required for getting the required
output??
Do let us know ,,
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import pytesseract as py
import os
import cv2
import sys
import difflib
import numpy as np
import unidecode as u
import tesserocr
from tesserocr import PyTessBaseAPI, RIL, iterate_level, PSM
from PIL import Image
from pdf2image import convert_from_path
import datetime
def get_coords(x, y, w, h):
return x, y, x+w, y+h
pil_images = Image.open(r'3-res1.jpg') #convert_from_path(r'2.jpg', fmt='jpg')
os.environ['OMP_THREAD_LIMIT'] = '1'
with PyTessBaseAPI(psm=PSM.AUTO_ONLY) as api:
print(datetime.datetime.now(), "before start of all pages ocr",datetime.datetime.now())
api.SetImage(pil_images)
#ret = api.SetVariable('textord_tabfind_find_tables',"0") # 400: 1
#ret = api.SetVariable('textord_tablefind_recognize_tables', "0")
api.Recognize()
ri = api.GetIterator()
level = RIL.BLOCK
for r in iterate_level(ri, level):
symbol = r.GetUTF8Text(level) # r == ri
conf = r.Confidence(level)
if symbol:
print(u'symbol {}, conf: {}'.format(symbol, conf), end='')
print("block type is",r.BlockType())
print("Bounding Box is", r.BoundingBox(0))
print("..........................................")
print("after end of the page ocr",datetime.datetime.now())
api.Clear()
from PIL import Image
import pytesseract as py
from pytesseract import image_to_string
py.pytesseract.tesseract_cmd = r"D:\Tesseract-OCR\tesseract.exe"
df = py.image_to_data(Image.open(r'3-res1.jpg'), config="-c textord_tabfind_find_tables=0", output_type='data.frame')
df.to_csv("3-res1.csv")
print(df.to_string())
,level,page_num,block_num,par_num,line_num,word_num,left,top,width,height,conf,text
0,1,1,0,0,0,0,0,0,1431,925,-1,
1,2,1,1,0,0,0,43,7,138,40,-1,
2,3,1,1,1,0,0,43,7,138,40,-1,
3,4,1,1,1,1,0,87,7,42,17,-1,
4,5,1,1,1,1,1,87,7,42,17,87,1SIN
5,4,1,1,1,2,0,43,29,138,18,-1,
6,5,1,1,1,2,1,43,29,43,18,28,RI
7,5,1,1,1,2,2,88,29,93,18,24,Tiel]
8,2,1,2,0,0,0,5,60,164,125,-1,
9,3,1,2,1,0,0,5,60,164,125,-1,
10,4,1,2,1,1,0,6,60,120,15,-1,
11,5,1,2,1,1,1,6,60,120,15,53,INEO12AD1026
12,4,1,2,1,2,0,5,78,80,15,-1,
13,5,1,2,1,2,1,5,78,80,15,91,ACC.NSE
14,4,1,2,1,3,0,6,106,119,15,-1,
15,5,1,2,1,3,1,6,106,119,15,77,INEB14H01011
16,4,1,2,1,4,0,5,123,164,16,-1,
17,5,1,2,1,4,1,5,123,122,16,89,ADANIPOWER
18,5,1,2,1,4,2,128,123,41,16,62,NSE
19,4,1,2,1,5,0,6,151,120,15,-1,
20,5,1,2,1,5,1,6,151,120,15,66,INE720P01022
21,4,1,2,1,6,0,5,169,116,16,-1,
22,5,1,2,1,6,1,5,169,116,16,38,ALPSMOTOR:
23,2,1,3,0,0,0,5,197,162,33,-1,
24,3,1,3,1,0,0,5,197,162,33,-1,
25,4,1,3,1,1,0,6,197,120,15,-1,
26,5,1,3,1,1,1,6,197,120,15,38,INE438A01022
27,4,1,3,1,2,0,5,215,162,15,-1,
28,5,1,3,1,2,1,5,215,162,15,91,APOLLOTYRE.NSE
29,2,1,4,0,0,0,5,242,167,170,-1,
30,3,1,4,1,0,0,5,242,167,170,-1,
31,4,1,4,1,1,0,6,242,120,16,-1,
32,5,1,4,1,1,1,6,242,120,16,75,INEO21A01020
33,4,1,4,1,2,0,5,260,149,16,-1,
34,5,1,4,1,2,1,5,260,149,16,87,ASIANPANT.NSE
35,4,1,4,1,3,0,6,287,120,16,-1,
36,5,1,4,1,3,1,6,287,120,16,55,INEABSA01026
37,4,1,4,1,4,0,6,305,166,16,-1,
38,5,1,4,1,4,1,6,305,166,16,89,BHARATFORG.NSE
39,4,1,4,1,5,0,7,332,117,16,-1,
40,5,1,4,1,5,1,7,332,117,16,25,INEO2OAD1011
41,4,1,4,1,6,0,6,351,87,15,-1,
42,5,1,4,1,6,1,6,351,87,15,90,BPCL.NSE
43,4,1,4,1,7,0,6,379,120,15,-1,
44,5,1,4,1,7,1,6,379,120,15,29,INE1T2A01027
45,4,1,4,1,8,0,6,396,118,16,-1,
46,5,1,4,1,8,1,6,396,118,16,59,CASTROLIND.|
47,2,1,5,0,0,0,6,424,120,34,-1,
48,3,1,5,1,0,0,6,424,120,34,-1,
49,4,1,5,1,1,0,6,424,120,15,-1,
50,5,1,5,1,1,1,6,424,120,15,43,INEO16A01026
51,4,1,5,1,2,0,6,442,103,16,-1,
52,5,1,5,1,2,1,6,442,103,16,89,DABURNSE
53,2,1,6,0,0,0,6,653,152,79,-1,
54,3,1,6,1,0,0,6,653,152,79,-1,
55,4,1,6,1,1,0,7,653,119,16,-1,
56,5,1,6,1,1,1,7,653,119,16,61,INEO30AD1027
57,4,1,6,1,2,0,6,671,151,16,-1,
58,5,1,6,1,2,1,6,671,112,16,90,HINDUNILVR
59,5,1,6,1,2,2,119,671,38,15,96,NSE
60,4,1,6,1,3,0,6,699,120,15,-1,
61,5,1,6,1,3,1,6,699,120,15,34,INEOBSA01012
62,4,1,6,1,4,0,7,716,151,16,-1,
63,5,1,6,1,4,1,7,716,126,16,88,INDUSINDBK
64,5,1,6,1,4,2,134,716,24,16,95,NSE
65,2,1,7,0,0,0,6,744,122,126,-1,
66,3,1,7,1,0,0,6,744,120,80,-1,
67,4,1,7,1,1,0,7,744,117,16,-1,
68,5,1,7,1,1,1,7,744,117,16,10,INEODOA1021
69,4,1,7,1,2,0,6,762,83,16,-1,
70,5,1,7,1,2,1,6,762,83,16,88,INFY.NSE
71,4,1,7,1,3,0,7,790,119,16,-1,
72,5,1,7,1,3,1,7,790,119,16,83,INE154A01025
73,4,1,7,1,4,0,7,808,70,16,-1,
74,5,1,7,1,4,1,7,808,70,16,87,ITC.NSE
75,3,1,7,2,0,0,6,836,122,34,-1,
76,4,1,7,2,1,0,6,836,122,16,-1,
77,5,1,7,2,1,1,6,836,30,15,0,INE
78,5,1,7,2,1,2,37,836,91,16,0,199001027
79,4,1,7,2,2,0,6,854,113,16,-1,
80,5,1,7,2,2,1,6,854,113,16,92,JAGRAN.NSE
81,2,1,8,0,0,0,6,882,136,33,-1,
82,3,1,8,1,0,0,6,882,136,33,-1,
83,4,1,8,1,1,0,7,882,119,16,-1,
84,5,1,8,1,1,1,7,882,119,16,58,INEO19A01038
85,4,1,8,1,2,0,6,900,136,15,-1,
86,5,1,8,1,2,1,6,900,136,15,91,JSWSTEEL.NSE
87,2,1,9,0,0,0,221,7,287,890,-1,
88,3,1,9,1,0,0,221,7,287,890,-1,
89,4,1,9,1,1,0,284,7,164,22,-1,
90,5,1,9,1,1,1,284,7,99,22,96,Company
91,5,1,9,1,1,2,389,7,59,17,96,Name
92,4,1,9,1,2,0,222,60,113,15,-1,
93,5,1,9,1,2,1,222,60,37,15,93,ACC
94,5,1,9,1,2,2,265,60,70,15,77,LMITED
95,4,1,9,1,3,0,222,106,203,15,-1,
96,5,1,9,1,3,1,222,106,54,15,88,ADANI
97,5,1,9,1,3,2,281,106,68,15,96,POWER
98,5,1,9,1,3,3,354,106,71,15,95,LIMITED
99,4,1,9,1,4,0,222,151,275,15,-1,
100,5,1,9,1,4,1,222,151,46,15,96,ALPS
101,5,1,9,1,4,2,273,151,66,15,95,MOTOR
102,5,1,9,1,4,3,345,151,78,15,95,FINANCE
103,5,1,9,1,4,4,429,151,68,15,96,LIMITED
104,4,1,9,1,5,0,221,196,212,16,-1,
105,5,1,9,1,5,1,221,196,72,16,95,APOLLO
106,5,1,9,1,5,2,298,197,60,15,96,TYRES
107,5,1,9,1,5,3,363,197,70,15,95,LIMITED
108,4,1,9,1,6,0,222,242,199,16,-1,
109,5,1,9,1,6,1,222,242,53,16,94,ASIAN
110,5,1,9,1,6,2,280,242,65,15,96,PAINTS
111,5,1,9,1,6,3,350,242,71,16,96,LIMITED
112,4,1,9,1,7,0,222,287,216,16,-1,
113,5,1,9,1,7,1,222,287,72,16,94,BHARAT
114,5,1,9,1,7,2,299,287,64,15,92,FORGE
115,5,1,9,1,7,3,368,287,70,15,65,LWITED
116,4,1,9,1,8,0,222,333,189,33,-1,
117,5,1,9,1,8,1,222,333,189,33,26,BR
118,4,1,9,1,9,0,222,378,213,16,-1,
119,5,1,9,1,9,1,222,379,85,15,77,CASTROL
120,5,1,9,1,9,2,312,378,48,16,95,INDIA
121,5,1,9,1,9,3,364,378,71,16,95,LIMITED
122,4,1,9,1,10,0,223,424,190,15,-1,
123,5,1,9,1,10,1,223,424,62,15,92,DABUR
124,5,1,9,1,10,2,290,424,48,15,76,INDIA
125,5,1,9,1,10,3,342,424,71,15,96,LIMITED
126,4,1,9,1,11,0,223,469,285,16,-1,
127,5,1,9,1,11,1,223,470,41,15,94,GMR
128,5,1,9,1,11,2,269,469,164,16,96,INFRASTRUCTURE
129,5,1,9,1,11,3,437,470,71,15,94,LIMITED
130,4,1,9,1,12,0,223,515,256,16,-1,
131,5,1,9,1,12,1,223,515,35,16,93,HCL
132,5,1,9,1,12,2,262,515,143,16,95,TECHNOLOGIES
133,5,1,9,1,12,3,410,515,69,16,86,LIMITED
134,4,1,9,1,13,0,223,561,179,16,-1,
135,5,1,9,1,13,1,223,561,49,16,88,HDFC
136,5,1,9,1,13,2,277,561,49,16,96,BANK
137,5,1,9,1,13,3,331,561,71,16,96,LIMITED
138,4,1,9,1,14,0,223,607,236,16,-1,
139,5,1,9,1,14,1,223,607,51,16,93,HERO
140,5,1,9,1,14,2,279,607,105,16,91,MOTOCORP
141,5,1,9,1,14,3,390,607,69,16,96,LIMITED
142,4,1,9,1,15,0,223,653,272,15,-1,
143,5,1,9,1,15,1,223,653,103,15,91,HINDUSTAN
144,5,1,9,1,15,2,331,653,90,15,91,UNILEVER
145,5,1,9,1,15,3,426,653,69,15,21,LIMITED
146,4,1,9,1,16,0,223,698,215,16,-1,
147,5,1,9,1,16,1,223,698,86,16,92,INDUSIND
148,5,1,9,1,16,2,314,699,48,15,96,BANK
149,5,1,9,1,16,3,368,698,70,16,96,LIMITED
150,4,1,9,1,17,0,223,744,153,16,-1,
151,5,1,9,1,17,1,223,744,77,16,95,INFOSYS
152,5,1,9,1,17,2,305,744,71,16,95,LIMITED
153,4,1,9,1,18,0,223,790,104,16,-1,
154,5,1,9,1,18,1,223,790,28,16,66,TC
155,5,1,9,1,18,2,256,790,71,16,83,LIMITED
156,4,1,9,1,19,0,222,836,263,16,-1,
157,5,1,9,1,19,1,222,836,72,16,90,JAGRAN
158,5,1,9,1,19,2,299,836,111,16,92,PRAKASHAN
159,5,1,9,1,19,3,415,836,70,15,96,LIMITED
160,4,1,9,1,20,0,222,881,176,16,-1,
161,5,1,9,1,20,1,222,882,38,15,92,JSW
162,5,1,9,1,20,2,265,882,57,15,92,STEEL
163,5,1,9,1,20,3,327,881,71,16,74,LIMTED
164,2,1,10,0,0,0,547,7,116,17,-1,
165,3,1,10,1,0,0,547,7,116,17,-1,
166,4,1,10,1,1,0,547,7,116,17,-1,
167,5,1,10,1,1,1,547,7,51,17,93,Face
168,5,1,10,1,1,2,606,7,57,17,92,Vaiue
169,2,1,11,0,0,0,592,29,35,17,-1,
170,3,1,11,1,0,0,592,29,35,17,-1,
171,4,1,11,1,1,0,592,29,35,17,-1,
172,5,1,11,1,1,1,592,29,35,17,18,[UK4
173,2,1,12,0,0,0,647,60,45,700,-1,
174,3,1,12,1,0,0,647,60,45,700,-1,
175,4,1,12,1,1,0,648,60,43,15,-1,
176,5,1,12,1,1,1,648,60,43,15,92,10.00
177,4,1,12,1,2,0,647,105,44,16,-1,
178,5,1,12,1,2,1,647,105,44,16,95,10.00
179,4,1,12,1,3,0,658,151,33,15,-1,
180,5,1,12,1,3,1,658,151,33,15,89,1.00
181,4,1,12,1,4,0,657,197,34,15,-1,
182,5,1,12,1,4,1,657,197,34,15,85,1.00
183,4,1,12,1,5,0,658,243,34,14,-1,
184,5,1,12,1,5,1,658,243,34,14,74,1.00
185,4,1,12,1,6,0,656,287,36,15,-1,
186,5,1,12,1,6,1,656,287,36,15,95,200
187,4,1,12,1,7,0,647,333,44,15,-1,
188,5,1,12,1,7,1,647,333,44,15,95,10.00
189,4,1,12,1,8,0,656,378,35,16,-1,
190,5,1,12,1,8,1,656,378,35,16,89,500
191,4,1,12,1,9,0,658,424,34,15,-1,
192,5,1,12,1,9,1,658,424,34,15,71,1.00
193,4,1,12,1,10,0,658,470,34,15,-1,
194,5,1,12,1,10,1,658,470,34,15,95,100
195,4,1,12,1,11,0,656,516,35,15,-1,
196,5,1,12,1,11,1,656,516,35,15,82,20
197,4,1,12,1,12,0,656,561,36,16,-1,
198,5,1,12,1,12,1,656,561,36,16,95,200
199,4,1,12,1,13,0,656,607,36,16,-1,
200,5,1,12,1,13,1,656,607,36,16,95,200
201,4,1,12,1,14,0,657,653,34,15,-1,
202,5,1,12,1,14,1,657,653,34,15,94,100
203,4,1,12,1,15,0,648,698,44,16,-1,
204,5,1,12,1,15,1,648,698,44,16,95,10.00
205,4,1,12,1,16,0,656,744,36,16,-1,
206,5,1,12,1,16,1,656,744,36,16,80,5.00
207,2,1,13,0,0,0,658,790,34,15,-1,
208,3,1,13,1,0,0,658,790,34,15,-1,
209,4,1,13,1,1,0,658,790,34,15,-1,
210,5,1,13,1,1,1,658,790,34,15,96,1.00
211,2,1,14,0,0,0,658,882,34,15,-1,
212,3,1,14,1,0,0,658,882,34,15,-1,
213,4,1,14,1,1,0,658,882,34,15,-1,
214,5,1,14,1,1,1,658,882,34,15,92,1.00
215,2,1,15,0,0,0,752,6,72,41,-1,
216,3,1,15,1,0,0,752,6,72,41,-1,
217,4,1,15,1,1,0,755,6,60,18,-1,
218,5,1,15,1,1,1,755,6,60,18,12,A
219,4,1,15,1,2,0,752,29,72,18,-1,
220,5,1,15,1,2,1,752,29,72,18,94,Shares
221,2,1,16,0,0,0,850,196,20,15,-1,
222,3,1,16,1,0,0,850,196,20,15,-1,
223,4,1,16,1,1,0,850,196,20,15,-1,
224,5,1,16,1,1,1,850,196,20,15,30,%
225,2,1,17,0,0,0,851,287,19,61,-1,
226,3,1,17,1,0,0,851,287,19,61,-1,
227,4,1,17,1,1,0,851,287,19,15,-1,
228,5,1,17,1,1,1,851,287,19,15,95,12
229,4,1,17,1,2,0,851,332,19,16,-1,
230,5,1,17,1,2,1,851,332,19,16,87,18
231,2,1,18,0,0,0,842,470,29,15,-1,
232,3,1,18,1,0,0,842,470,29,15,-1,
233,4,1,18,1,1,0,842,470,29,15,-1,
234,5,1,18,1,1,1,842,470,29,15,80,150
235,2,1,19,0,0,0,850,836,19,15,-1,
236,3,1,19,1,0,0,850,836,19,15,-1,
237,4,1,19,1,1,0,850,836,19,15,-1,
238,5,1,19,1,1,1,850,836,19,15,49,k)
239,2,1,20,0,0,0,982,6,93,40,-1,
240,3,1,20,1,0,0,982,6,93,40,-1,
241,4,1,20,1,1,0,990,6,69,17,-1,
242,5,1,20,1,1,1,990,6,69,17,95,Market
243,4,1,20,1,2,0,982,28,93,18,-1,
244,5,1,20,1,2,1,982,29,50,17,0,adn:
245,5,1,20,1,2,2,1040,28,35,18,0,Tuk
246,2,1,21,0,0,0,1101,59,67,61,-1,
247,3,1,21,1,0,0,1101,59,67,61,-1,
248,4,1,21,1,1,0,1101,59,67,17,-1,
249,5,1,21,1,1,1,1101,59,67,17,64,1832.06
250,4,1,21,1,2,0,1123,105,45,15,-1,
251,5,1,21,1,2,1,1123,105,45,15,93,44.90
252,2,1,22,0,0,0,1134,151,34,14,-1,
253,3,1,22,1,0,0,1134,151,34,14,-1,
254,4,1,22,1,1,0,1134,151,34,14,-1,
255,5,1,22,1,1,1,1134,151,34,14,91,147
256,2,1,23,0,0,0,1099,378,69,381,-1,
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