如何从python笔迹图像中获取文本

Question

图片：

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图像是手写的文本行，这是提取文本的一些东西，而不是图像中的期望。

代码是

import cv2

img = cv2.imread("a.jpg")
img = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
img = cv2.resize(img,(6000,100))

_, result1 = cv2.threshold(img,100,255,cv2.THRESH_BINARY)
_, result2 = cv2.threshold(img,100,255,cv2.THRESH_BINARY_INV)

adaptive_result1 = cv2.adaptiveThreshold(result1,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C,cv2.THRESH_BINARY,199,5)
adaptive_result2 = cv2.adaptiveThreshold(result1,255,cv2.ADAPTIVE_THRESH_MEAN_C,cv2.THRESH_BINARY,199,5)
adaptive_result3 = cv2.adaptiveThreshold(result2,100,cv2.ADAPTIVE_THRESH_GAUSSIAN_C,cv2.THRESH_BINARY,199,5)
adaptive_result4 = cv2.adaptiveThreshold(result2,256,cv2.ADAPTIVE_THRESH_MEAN_C,cv2.THRESH_BINARY,999,1)
# cv2.imshow("title",result)
# cv2.waitKey(0)
import pytesseract
from PIL import Image
from pytesseract import Output
configs = r'--psm 6 --oem 3'
pytesseract.pytesseract.tesseract_cmd =r'C:/Users/ASUS/OneDrive/Desktop/ubuntu file/tesseract.exe'

data = pytesseract.image_to_data(img, config=configs, output_type=Output.DICT)
print(*data['text'])
data = pytesseract.image_to_data(result2, config=configs, output_type=Output.DICT)
print(*data['text'])
data = pytesseract.image_to_data(adaptive_result3, config=configs, output_type=Output.DICT)
print(*data['text'])
data = pytesseract.image_to_data(adaptive_result4, config=configs, output_type=Output.DICT)
print(*data['text'])
# data = pytesseract.image_to_data(img, config=configs, output_type=Output.DICT)
# print(*data['text'])
# print(data.keys())

输出

buttered off before. there, twinkling like new Yar sytemy, hung cuter of tempting Uwitationx they beaged hi to contre the extera

Answer 1

我尝试过一些图像预处理技术，如使用膨胀和操作阈值。图像变得非常清晰。

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然而，信心得分有时低至51，这意味着你不能真正依赖输出。这与发动机的训练有关。