从裁剪图像pytesseract中获取数字 [英] Get numbers from cropped image pytesseract

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

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• 1. 上采样

• 2. 应用阈值Pytesseract277032200746

---

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 image Here'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

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• 1. Upsampling

• 2. Applying simple-threshold

• 3. set configuration to digits

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Upsampling for accurate recognition. Otherwise tesseract may misterpret the digits.

Threshold Displays only the features of the image.

**Configuration Setting will recognize the digits

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	Result
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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