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python-tesseract
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Beta Testing
Python3-Tesseract Beta Testing
Downloads
Downloads Page in BitBucket
===_version 0.9 adds support to ResultIterator and AllWordConfidences()===see example 4 below####For details, please refer to example 3 in wiki-codesnippets#### remember to install opencv and numpy_
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Ubuntu Trusty x64 -python-tesseract_0.9-0.5ubuntu0_amd64.deb
Windows 7 x64 -python-tesseract-0.9-0.4.win-amd64-py2.7.exe<-thanks to Max Pole & Dustin Spicuzza
remember to put tessdata in the same path with your python program!!
Windows 7 x86 python-tesseract-0.9-0.4.win32-py2.7.exe
Mac 10.10 (Homebrew)
For details, refer to the wiki page.
easy_install https://bitbucket.org/3togo/python-tesseract/downloads/python_tesseract-0.9.1-py2.7-macosx-10.10-x86_64.egg
Python Wrapper Class for Tesseract
(Linux & Mac OS X & Windows)
Python-tesseract is a wrapper class for Tesseract OCR that allows any conventional image files (JPG, GIF ,PNG , TIFF and etc) to be read and decoded into readable languages. No temporary file will be created during the OCR processing.
Windows versions are available now!
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remember to
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- set PATH: e.g. PATH=%PATH%;C:\PYTHON27 Details
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- set c:\python27\python.exe to be compatible to**Windows 7**even though you are using windows 7. Otherwise the program might crash during runtime Details
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- Download and install all of them
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<BR>
- unzip the sample code and keep your fingers crossed Sample Codes
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- python -u test.py
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it is always safer to run python in unbuffered mode especially for windows XP
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Example 1:
import tesseract
api = tesseract.TessBaseAPI()
api.SetOutputName("outputName");
api.Init(".","eng",tesseract.OEM_DEFAULT)
api.SetPageSegMode(tesseract.PSM_AUTO)
mImgFile = "eurotext.jpg"
pixImage=tesseract.pixRead(mImgFile)
api.SetImage(pixImage)
outText=api.GetUTF8Text()
print("OCR output:\n%s"%outText);
api.End()
Example 2:
```
import tesseract
api = tesseract.TessBaseAPI()
api.Init(".","eng",tesseract.OEM_DEFAULT)
api.SetVariable("tessedit_char_whitelist", "0123456789abcdefghijklmnopqrstuvwxyz")
api.SetPageSegMode(tesseract.PSM_AUTO)
mImgFile = "eurotext.jpg"
mBuffer=open(mImgFile,"rb").read()
result = tesseract.ProcessPagesBuffer(mBuffer,len(mBuffer),api)
print "result(ProcessPagesBuffer)=",result
api.End()
**Example 3:**
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() print text api.End() ```
Example 4: ``` import tesseract import cv2 import cv2.cv as cv
image0=cv2.imread("p.bmp")
you may need to thicken the border in order to make tesseract feel happy to ocr your imageoffset=20 height,width,channel = image0.shape image1=cv2.copyMakeBorder(image0,offset,offset,offset,offset,cv2.BORDER_CONSTANT,value=(255,255,255))
cv2.namedWindow("Test")
cv2.imshow("Test", image1)
cv2.waitKey(0)
cv2.destroyWindow("Test")
#api = tesseract.TessBaseAPI() api.Init(".","eng",tesseract.OEM_DEFAULT) api.SetPageSegMode(tesseract.PSM_AUTO) height1,width1,channel1=image1.shape print image1.shape print image1.dtype.itemsize width_step = width*image1.dtype.itemsize print width_step
method 1
iplimage = cv.CreateImageHeader((width1,height1), cv.IPL_DEPTH_8U, channel1) cv.SetData(iplimage, image1.tostring(),image1.dtype.itemsize * channel1 * (width1)) tesseract.SetCvImage(iplimage,api)
text=api.GetUTF8Text() conf=api.MeanTextConf() image=None print "..............." print "Ocred Text: %s"%text print "Cofidence Level: %d %%"%conf
method 2:
cvmat_image=cv.fromarray(image1) iplimage =cv.GetImage(cvmat_image) print iplimage
tesseract.SetCvImage(iplimage,api)
api.SetImage(m_any,width,height,channel1)
text=api.GetUTF8Text()
conf=api.MeanTextConf()
image=None
print "..............."
print "Ocred Text: %s"%text
print "Cofidence Level: %d %%"%conf
api.End()
**Example 6:**
import tesseract
import cv2
import cv2.cv as cv
image0=cv2.imread("eurotext.jpg")
offset=20
height,width,channel = image0.shape
image1=cv2.copyMakeBorder(image0,offset,offset,offset,offset,cv2.BORDER_CONSTANT,value=(255,255,255))
api = tesseract.TessBaseAPI() api.Init(".","eng",tesseract.OEM_DEFAULT) api.SetPageSegMode(tesseract.PSM_AUTO) height1,width1,channel1=image1.shape print image1.shape print image1.dtype.itemsize width_step = width*image1.dtype.itemsize print width_step
iplimage = cv.CreateImageHeader((width1,height1), cv.IPL_DEPTH_8U, channel1) cv.SetData(iplimage, image1.tostring(),image1.dtype.itemsize * channel1 * (width1)) tesseract.SetCvImage(iplimage,api) api.Recognize(None) ri=api.GetIterator() level=tesseract.RIL_WORD count=0 while (ri): word = ri.GetUTF8Text(level) conf = ri.Confidence(level) print "[%03d]:\tword(confidence)=%s(%.2f%%)"%(count,word,conf) #ri.BoundingBox(level,x1,y1,x2,y2) count+=1 if not ri.Next(level): break
iplimage=None api.End() ``` p.bmp
