Python OCR Module in Linux?

问题:

I want to find a easy-to-use OCR python module in linux, I have found pytesser http://code.google.com/p/pytesser/, but it contains a .exe executable file.

I tried changed the code to use wine, and it really works, but it's too slow and really not a good idea.

Is there any Linux alternatives that as easy-to-use as it?

回答1:

You can just wrap tesseract in a function:

import os
import tempfile
import subprocess

def ocr(path):
    temp = tempfile.NamedTemporaryFile(delete=False)

    process = subprocess.Popen(['tesseract', path, temp.name], stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
    process.communicate()

    with open(temp.name + '.txt', 'r') as handle:
        contents = handle.read()

    os.remove(temp.name + '.txt')
    os.remove(temp.name)

    return contents

If you want document segmentation and more advanced features, try out OCRopus.

回答2:

In addition to Blender's answer, that just executs Tesseract executable, I would like to add that there exist other alternatives for OCR that can also be called as external process.

ABBYY comand line OCR utility: http://ocr4linux.com/en:start

It is not free, so worth to consider only if Tesseract accuracy is not good enough for your task, or you need more sophisticated layout analisys or you need to export PDF, Word and other files.

Update: here's comparison of ABBYY and tesseract accuracy: http://www.splitbrain.org/blog/2010-06/15-linux_ocr_software_comparison

Disclaimer: I work for ABBYY

回答3:

python tesseract

http://code.google.com/p/python-tesseract

import cv2.cv as cv
import tesseract

api = tesseract.TessBaseAPI()
api.Init(".","eng",tesseract.OEM_DEFAULT)
api.SetPageSegMode(tesseract.PSM_AUTO)

image=cv.LoadImage("eurotext.jpg", cv.CV_LOAD_IMAGE_GRAYSCALE)
tesseract.SetCvImage(image,api)
text=api.GetUTF8Text()
conf=api.MeanTextConf()

回答4:

You should try the excellent scikits.learn libraries for machine learning. You can find two codes that are ready to run here and here.

回答5:

You have a bunch of options here.

One way, as others pointed out is to use tesseract. Looks like there are a bunch of wrappers by now, so best way is to do a quick pypi search for it. The most used ones these days are:

• pytesseract
• pytesser
• tesserwrap
• pyocr

Another useful site for finding similar engines is alternative.to. A few linux based systems according to them are:

• ABBYY
• Tesseract
• CuneiForm
• Ocropus
• GOCR