![从裁剪图像pytesseract中获取数字]( "从裁剪图像pytesseract中获取数字")
本文介绍了从裁剪图像pytesseract中获取数字的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
我有一个裁剪的图像，我正在尝试获取裁剪图像上的数字这是我正在使用的代码
image = cv2.imread('Cropped.png')灰色 = cv2.cvtColor(图像，cv2.COLOR_BGR2GRAY)模糊 = cv2.GaussianBlur(gray, (3,3), 0)thresh = cv2.threshold(blur, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)[1]内核 = cv2.getStructuringElement(cv2.MORPH_RECT, (3,3))开场 = cv2.morphologyEx(thresh, cv2.MORPH_OPEN, 内核, 迭代=1)反转 = 255 - 打开数据 = pytesseract.image_to_string(invert, lang='eng', config='--psm 6')打印(数据)
这是裁剪后的示例图像
我得到了一些数字，而不是全部.如何增强这样的图像，使其只能提取数字?
我尝试了这张图片上的代码，但没有返回正确的数字
解决方案
你可以通过三个主要步骤轻松解决这个问题
- 上采样
- 应用
| 阈值 | |
| Pytesseract | 277032200746 |
现在如果你阅读，结果应该是这样的输出
277032200746
I have a cropped image and I am trying to get the numbers on that cropped imageHere's the code I am using
image = cv2.imread('Cropped.png')
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
blur = cv2.GaussianBlur(gray, (3,3), 0)
thresh = cv2.threshold(blur, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)[1]
kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (3,3))
opening = cv2.morphologyEx(thresh, cv2.MORPH_OPEN, kernel, iterations=1)
invert = 255 - opening
data = pytesseract.image_to_string(invert, lang='eng', config='--psm 6')
print(data)
Here's the sample cropped image
All what I got some numbers and not all of them. How to enhance such an image to be able to extract only the numbers?
I tried the code on this image but doesn't return correct numbers
解决方案
You can easily solve this with three-main steps
Upsampling for accurate recognition. Otherwise tesseract may misterpret the digits.
Threshold Displays only the features of the image.
**Configuration Setting will recognize the digits
| Upsampling | |
| Threshold | |
| Pytesseract | 277032200746 |
Code:
import cv2
import pytesseract
img1 = cv2.imread("kEpyN.png") # "FX2in.png"
gry1 = cv2.cvtColor(img1, cv2.COLOR_BGR2GRAY)
(h, w) = gry1.shape[:2]
gry1 = cv2.resize(gry1, (w*2, h*2))
thr1 = cv2.threshold(gry1, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)[1]
txt1 = pytesseract.image_to_string(thr1, config="digits")
print("".join(t for t in txt1 if t.isalnum()))
cv2.imshow("thr1", thr1)
cv2.waitKey(0)
Update:
Most-probably a version mismatch causes extra words and digits.
One-way to solving is taking a range of the image
For instance, from the thresholded image:
(h_thr, w_thr) = thr1.shape[:2]
thr1 = thr1[0:h_thr-10, int(w_thr/2)-400:int(w_thr/2)+200]
Result will be:
Now if you read, result should be like this output
277032200746
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