Reputation: 163
I am trying to get character position of image files using pytesseract library .
import pytesseract
from PIL import Image
print pytesseract.image_to_string(Image.open('5.png'))
Is there any library for getting each position of character
Upvotes: 13
Views: 18994
Reputation: 465
Did you try use pytesseract.image_to_data()?
data = pytesseract.image_to_data(img, output_type='dict')
boxes = len(data['level'])
for i in range(boxes ):
(x, y, w, h) = (data['left'][i], data['top'][i], data['width'][i], data['height'][i])
#Draw box
cv2.rectangle(img, (x, y), (x + w, y + h), (0, 255, 0), 2)
Upvotes: 8
Reputation: 49
you can save each character as an image using the script below and this is for python 3.6+
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
Upvotes: 0
Reputation: 77
The position of the character can be found as follows.
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)
While using this method, one may miss some texts. It would require some preprocessing (viz. background subtraction) of the image to get better results.
Upvotes: -1
Reputation: 152
Using pytesseract doesn't seem the best idea to have the position but you can do this :
from pytesseract import pytesseract
pytesseract.run_tesseract('image.png', 'output', lang=None, boxes=False, config="hocr")
Upvotes: 1