问题
Above is the image ,I have tried everything I could get from SO or google ,nothing seems to work. I can not get the exact value in image , I should get 2.10 , Instead it always get 210.
And it is not limited to this image only any image which have a decimal before number 1 tesseract ignores the decimal value.
def returnAllowedAmount(self,imgpath):
th = 127
max_val = 255
img = cv2.imread(imgpath,0) #Load Image in Memory
img = cv2.resize(img, None, fx=2.5, fy=2.5, interpolation=cv2.INTER_CUBIC) #rescale Image
img = cv2.medianBlur(img, 1)
ret , img = cv2.threshold(img,th,max_val,cv2.THRESH_TOZERO)
self.showImage(img)
returnData = pytesseract.image_to_string(img,lang='eng',config='-psm 13 ' )
returnData = ''.join(p for p in returnData if p.isnumeric() or p == ".") # REMOVE $ SIGN
回答1:
Before throwing the image into Pytesseract, some preprocessing to clean/smooth the image helps. Here's a simple approach
- Convert image to grayscale and enlarge image
- Threshold
- Perform morphological operations to clean image
- Invert image
First we convert the image to grayscale, resize using the imutils library then threshold to obtain a binary image
Now we perform morphological transformations to smooth the image
Now we invert the image for Pytesseract and add a Gaussian blur
We use the --psm 10
config flag since we want to treat the image as a single character. Here's some additional configuration flags that could be useful
Results
$2.10
After filtering
2.10
import cv2
import pytesseract
import imutils
pytesseract.pytesseract.tesseract_cmd = r"C:\Program Files\Tesseract-OCR\tesseract.exe"
image = cv2.imread('1.png',0)
image = imutils.resize(image, width=300)
thresh = cv2.threshold(image, 150, 255, cv2.THRESH_BINARY_INV)[1]
kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (3,3))
close = cv2.morphologyEx(thresh, cv2.MORPH_CLOSE, kernel)
result = 255 - close
result = cv2.GaussianBlur(result, (5,5), 0)
data = pytesseract.image_to_string(result, lang='eng',config='--psm 10 ')
processed_data = ''.join(char for char in data if char.isnumeric() or char == '.')
print(data)
print(processed_data)
cv2.imshow('thresh', thresh)
cv2.imshow('close', close)
cv2.imshow('result', result)
cv2.waitKey()
来源:https://stackoverflow.com/questions/57480469/how-to-extract-decimal-in-image-with-pytesseract