raspberry pi - 来自米的OCR数字

Question

我几乎完成了一个成功的程序，因为代码使用了一个示例文件，但是我无法编辑我的仪表的照片以便OCR工作。

我发现我的输出图像非常接近工作模式，但是我不知道我还能对图像做些什么才能让它工作。

这是我的代码：

import pytesseract
import Image
import sys

from PIL import Image
from PIL import ImageFilter
import PIL
import PIL.ImageOps

image_file_ocr = 'ocr_output.jpg'

image_file = 'image_original.jpg'
#image_file = 'ocr2.jpg'
#image_file = 'sample1.jpg'
#image_file = 'sample2.jpg'
#image_file = 'sample3.jpg'
#image_file = 'sample4.jpg'     # texto largo
#image_file = 'sample5.jpg'     #image_text = "1234567890"

print image_file

# LOAD THE IMAGE
#image = Image.open('sample5.jpg')
image = Image.open(image_file)              # open colour image
image = image.convert('L')               # convert image to monochrome - this works
#image = image.convert('1')              # convert image to black and white

image = image.rotate(-90)

# EDIT THE IMAGE
w, h = image.size
#image = image.crop((0, 30, w, h-30))
image = image.crop((350, 680, 1100, 770))
image.filter(ImageFilter.SHARPEN)

image = PIL.ImageOps.invert(image)

image.save(image_file_ocr,'jpeg')

# PROCESS THE IMAGE
print "\n\nProcessing image: " + image_file_ocr
image = Image.open(image_file_ocr)

print "Process method 1:"
text = pytesseract.image_to_string(image, config='outputbase digits')
print text

print "Process method 2:"
text = pytesseract.image_to_string(image)
print text

这是原始图片

这是我目前处理图像的进展

以下图片正常工作

Answer 1

您可以考虑使用模式\d\d\d\d\d\d\d\d（8位数）添加config user file。另外请注意默认的page segmentation method：

  

默认情况下，Tesseract在分割图像时需要一页文本。如果您只是想要使用-psm参数尝试OCR小区域尝试不同的分段模式。请注意，在文本过于紧缩的情况下添加白色边框也会有所帮助，请参阅问题398.

截至3.04：

 0   Orientation and script detection (OSD) only.
 1   Automatic page segmentation with OSD.
 2   Automatic page segmentation, but no OSD, or OCR.
 3   Fully automatic page segmentation, but no OSD. (Default)
 4   Assume a single column of text of variable sizes.
 5   Assume a single uniform block of vertically aligned text.
 6   Assume a single uniform block of text.
 7   Treat the image as a single text line.
 8   Treat the image as a single word.
 9   Treat the image as a single word in a circle.
10   Treat the image as a single character.

因此，您可能需要-psm 7来裁剪图片。

另请参阅this答案，了解如何应用过滤器。