OCR Python 得到错误的字符
OCR Python get wrong characters
我正在尝试识别这张图片中的文字
这是我的试用版
import cv2
import numpy as np
import pytesseract
from PIL import Image
# Path of working folder on Disk
src_path = "E:/PythonApps/characterRecognitionWithTuneWithVoice/"
def get_string(img_path):
# Read image with opencv
img = cv2.imread(img_path)
# Convert to gray
img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# Apply dilation and erosion to remove some noise
kernel = np.ones((1, 1), np.uint8)
img = cv2.dilate(img, kernel, iterations=1)
img = cv2.erode(img, kernel, iterations=1)
# Write image after removed noise
cv2.imwrite(src_path + "removed_noise.png", img)
# Apply threshold to get image with only black and white
#img = cv2.adaptiveThreshold(img, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 31, 2)
# Write the image after apply opencv to do some ...
cv2.imwrite(src_path + "thres.png", img)
# Recognize text with tesseract for python
result = pytesseract.image_to_string(Image.open(src_path + "thres.png"), lang='eng')
# Remove template file
#os.remove(temp)
return result
print '--- Start recognize text from image ---'
print get_string(src_path + "Untitled.png")
print "------ Done -------"
但是我得到了错误的文本字符,如下所示
um msmv unuur
所以知道发生了什么或者我应该怎么做才能得到文本?
感谢您的建议。
可能是你的eng tessdata有问题,你用的是哪个tesseract OCR版本和eng tessdata?
尝试替换 tessdata 目录中的这个 eng tessdata
p.s。您的代码和图像通过配置提供了您想要的精确输出:eng tessdata 和 tesseract 版本 4.x 在我的机器中。
我正在尝试识别这张图片中的文字
这是我的试用版
import cv2
import numpy as np
import pytesseract
from PIL import Image
# Path of working folder on Disk
src_path = "E:/PythonApps/characterRecognitionWithTuneWithVoice/"
def get_string(img_path):
# Read image with opencv
img = cv2.imread(img_path)
# Convert to gray
img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# Apply dilation and erosion to remove some noise
kernel = np.ones((1, 1), np.uint8)
img = cv2.dilate(img, kernel, iterations=1)
img = cv2.erode(img, kernel, iterations=1)
# Write image after removed noise
cv2.imwrite(src_path + "removed_noise.png", img)
# Apply threshold to get image with only black and white
#img = cv2.adaptiveThreshold(img, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 31, 2)
# Write the image after apply opencv to do some ...
cv2.imwrite(src_path + "thres.png", img)
# Recognize text with tesseract for python
result = pytesseract.image_to_string(Image.open(src_path + "thres.png"), lang='eng')
# Remove template file
#os.remove(temp)
return result
print '--- Start recognize text from image ---'
print get_string(src_path + "Untitled.png")
print "------ Done -------"
但是我得到了错误的文本字符,如下所示
um msmv unuur
所以知道发生了什么或者我应该怎么做才能得到文本?
感谢您的建议。
可能是你的eng tessdata有问题,你用的是哪个tesseract OCR版本和eng tessdata?
尝试替换 tessdata 目录中的这个 eng tessdata
p.s。您的代码和图像通过配置提供了您想要的精确输出:eng tessdata 和 tesseract 版本 4.x 在我的机器中。