I'm currently using pytesseract and cv2 to try to read this Health Bar.
The only problem is that when I try to convert it to a string using pytesseract.image_to_string(img), it recognizes this line before the number 1 as 1 itself, so the returned value is : 11189/10180
Any thoughts on how can I work around this problem? Thanks a lot in advance!
If you apply OTSU's threshold:
The OCR result is:
| 1189 / 10180
if you don't want | and /, you can use isalnum() but this time result will be:
118910180
Code:
import cv2
import pytesseract
# Load the image
img = cv2.imread("glwMK.png")
# Convert to the gray-scale
gry = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# Threshold
thr = cv2.threshold(gry, 120, 255, cv2.THRESH_OTSU)[1]
# OCR
print(pytesseract.image_to_string(thr))
# Display
cv2.imshow("", thr)
cv2.waitKey(0)
Related
Please check the following image:
Image
I am using the following code to extract text from the image.
img = cv2.imread("img.png")
txt = pytesseract.image_to_string(img)
But the result is showing different than the original one:
It is showing the following result:
+BuFl
But it should be:
+Bu#L
I don't know what the problem is. I am pretty new in Pytesseract.
Is there anyone who can help me to sort out the problem?
Thank you very much.
One way of solving is applying otsu-thresholding
Otsu's method automatically finds the threshold value unlike global thresholding.
The result of applying Otsu's threshold will be:
import cv2
import pytesseract
img = cv2.imread("Tqom8.png") # Load the image
img = cv2.resize(img, (0, 0), fx=0.5, fy=0.5)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) # Convert to gray
thr = cv2.threshold(gray, 0, 128, cv2.THRESH_OTSU)[1]
txt = pytesseract.image_to_string(gray, config='--psm 6')
print(pytesseract.__version__)
print(txt)
Result:
0.3.8
+Bu#L
Also make sure to read the Improving the quality of the output
I want to extract a particular text from an image, and I already did some filtering in image but still I'm not getting the exact text.Also is there any way to get a specific text alone from the image?
Code for filtering the image and converting to text
import cv2
import pytesseract
image = cv2.imread('original.png', 0)
thresh = cv2.threshold(image, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)[1]
img = cv2.adaptiveThreshold(thresh, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 11, 2)
cv2.imwrite('filtered.png', img)
data = pytesseract.image_to_data(img)
print(data)
cv2.imshow('thresh', img)
cv2.waitKey()
You can try easyOCR instead of pytesseract
first install by pip install easyocr
import cv2
import easyocr
image = cv2.imread('original.jpg', 0)
reader = easyocr.Reader(['en'])
result = reader.readtext(image)
#You can use regular expression
interested_string = 'Patrol Rewards'
line = [l[1] for l in result if 'Patrol Rewards' in l[1]]
print(line)
You will get list containing interested string like
['Patrol Rewards: Courage Horn X 1']
This will give correct output but it is bit slow compared to pytesseract on CPU but if you have GPU configured then it is faster. But it gives quite good OCR results.
I want to recognize a image like this:
I am using the following config:
config="--psm 6 --oem 3 -c tessedit_char_whitelist=0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ,."
but when I try to convert that, I get the following:
1581
1
W
I think that the image shows really clearly what is written and think that there is a problem with pytesseract. Can you help?
Preprocessing the image to obtain a binary image before performing OCR seems to work. You could also try to resize the image so that more details would be seen
Results
158.1
1
IT
import cv2
import pytesseract
pytesseract.pytesseract.tesseract_cmd = r"C:\Program Files\Tesseract-OCR\tesseract.exe"
# Grayscale and Otsu's threshold
image = cv2.imread('1.png')
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
thresh = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)[1]
# Perform text extraction
data = pytesseract.image_to_string(thresh, lang='eng', config='--psm 6')
print(data)
cv2.imshow('thresh', thresh)
cv2.waitKey()
I want to read a column of number from an attached image (png file).
My code is
import cv2
import pytesseract
import os
img = cv2.imread(os.path.join(image_path, image_name), 0)
config= "-c
tessedit_char_whitelist=01234567890.:ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz"
pytesseract.image_to_string(img, config=config)
This code gives me the output string: 'n113\nun\n1.08'. As we can see, there are two problems:
It fails to recognize a decimal point in 1.13 (see attached picture).
It totally cannot read 1.11 (see attached picture). It just returns 'nun'.
What is a solution to these problems?
Bests
You need to preprocess the image. A simple approach is to resize the image, convert to grayscale, and obtain a binary image using Otsu's threshold. From here we can apply a slight gaussian blur then invert the image so the desired text to extract is in white with the background in black. Here's the processed image ready for OCR
Result from OCR
1.13
1.11
1.08
Code
import cv2
import pytesseract
import imutils
pytesseract.pytesseract.tesseract_cmd = r"C:\Program Files\Tesseract-OCR\tesseract.exe"
# Resize, grayscale, Otsu's threshold
image = cv2.imread('1.png')
image = imutils.resize(image, width=400)
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
thresh = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)[1]
# Blur and perform text extraction
thresh = 255 - cv2.GaussianBlur(thresh, (5,5), 0)
data = pytesseract.image_to_string(thresh, lang='eng',config='--psm 6')
print(data)
cv2.imshow('thresh', thresh)
cv2.waitKey()
I am trying to read some characters that come out on the screen, but none of my attempts is successful. Example image here
And here is my code:
import pytesseract as tess
tess.pytesseract.tesseract_cmd = r'C:\Users\myuser\AppData\Local\Tesseract-OCR\tesseract.exe'
from PIL import Image
img = Image.open(r'E:\images\numbers.PNG')
text = tess.image_to_string(img)
print(text)
The "garbage" output that displays is:
C NCES IC DICIIED)
CK STOO TEED
#©O®D#O#O#O#O®
I suppose this is happening because of the color of the numbers, and the different background image they could appear on.
Unfortunately I do not know how to proceed further and how to get it working.
Can you please help? Your assistance is much appreciated!
Thanks!
I don't have Tesseract installed right now but try with the result of this code:
import cv2
img = cv2.imread('img.png')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
thresh = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY_INV, 3, 6)
cv2.imshow('threshold', thresh)
cv2.waitKey(0)
You can fine tune it to achieve your result.