2.01 is too old. So I would suggest to use tesseract executable only or
upgrade to tesseract 3.02.
Save your data as image (in format that is recognized by tesseract 2.01)
and run:
   tesseract image_file output_file

Zdenko
Dňa 13.04.2012 06:20, Ankur Rana  wrote / napísal(a):
> Please see the attached files. Image file contains mixture
> of Punjabi and English language text. I have made Punjabi recognition
> system. What i need is to recognize the English text. When i run tesseract
> on bmp image it recognized English text successfully.  "*224_1.dat" *is
> binary file of the image file (224_1.bmp) that i have created. I want to
> pass 224_1.dat file as a input to tesseract for recognition of English text.
>
> On Fri, Apr 13, 2012 at 12:05 AM, Mayur Mudigonda <mayur.mudihat it
> recognize the engligo...@gmail.com> wrote:
>
>> Ankur, you need to be more specific. Please attach the image if possible
>> for other users on the thread to attempt to give you a solution. It is hard
>> to help without more information.
>>
>> M
>>
>>
>> On Thu, Apr 12, 2012 at 8:00 AM, Ankur Rana <ankurrana...@gmail.com>wrote:
>>
>>> I tired to pass only image binary data in text file to tesseract but not
>>> working. Can anybody explain how to tesseract read the image file?
>>>
>>>
>>> On Thu, Apr 12, 2012 at 12:45 PM, Mayur Mudigonda <
>>> mayur.mudigo...@gmail.com> wrote:
>>>
>>>> If this is from the command line - save it as .png image file and call
>>>> Tesseract
>>>>
>>>> It should be no different from any other image
>>>>
>>>> On Wed, Apr 11, 2012 at 11:24 PM, Ankur Rana <ankurrana...@gmail.com>wrote:
>>>>
>>>>> how can i pass my already binarized image data to Tesseract 2.01?
>>>>>
>>>>>
>>>>> On Thu, Apr 12, 2012 at 9:55 AM, Mayur Mudigonda <
>>>>> mayur.mudigo...@gmail.com> wrote:
>>>>>
>>>>>> I think if you were writing your own classification code, you'd have
>>>>>> to edit the classification (cpp files) and compile them manually. You 
>>>>>> would
>>>>>> also branch from the default Tesseract build.
>>>>>>
>>>>>> I am interested in analyzing the use of more powerful classifiers like
>>>>>> LTSM NN and Boltzman machines based NNs. Although that is a more mammoth
>>>>>> task and I would require support from more people.
>>>>>>
>>>>>> M
>>>>>>
>>>>>>
>>>>>> On Wed, Apr 11, 2012 at 9:04 PM, Karin <zeal...@gmail.com> wrote:
>>>>>>
>>>>>>> Can we do another classification on tesseract?
>>>>>>> Currently I am using Tesseract 2.00  and I go through all the
>>>>>>> variables that can be set before recognize. Is there a mechanism to
>>>>>>> add KNN for classification in Tesseract 2.00?
>>>>>>>
>>>>>>> --
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>>>>>>>
>>>>>>
>>>>>>
>>>>>> --
>>>>>>
>>>>>> URL:
>>>>>> www.cse.msu.edu/~mudigon1 <http://www.cse.msu.edu/%7Emudigon1>
>>>>>> www.blindsight.com/team
>>>>>> Elegance is not a dispensable luxury but a factor that decides between
>>>>>> success and failure.
>>>>>> Edsger Dijkstra
>>>>>>
>>>>>>  --
>>>>>> You received this message because you are subscribed to the Google
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>>>>>>
>>>>>
>>>>>
>>>>> --
>>>>> Regards
>>>>>
>>>>> ---------------------------------------------------------------------------------------
>>>>> Ankur Rana
>>>>> (ਅੰਕੁਰ ਰਾਣਾ)
>>>>>
>>>>>  --
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>>>>>
>>>>
>>>>
>>>> --
>>>>
>>>> URL:
>>>> www.cse.msu.edu/~mudigon1
>>>> www.blindsight.com/team
>>>> Elegance is not a dispensable luxury but a factor that decides between
>>>> success and failure.
>>>> Edsger Dijkstra
>>>>
>>>>  --
>>>> You received this message because you are subscribed to the Google
>>>> Groups "tesseract-ocr" group.
>>>> To post to this group, send email to tesseract-ocr@googlegroups.com
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>>>> For more options, visit this group at
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>>>>
>>>
>>>
>>> --
>>> Regards
>>>
>>> ---------------------------------------------------------------------------------------
>>> Ankur Rana
>>> (ਅੰਕੁਰ ਰਾਣਾ)
>>>
>>>  --
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>>>
>>
>>
>> --
>>
>> URL:
>> www.cse.msu.edu/~mudigon1
>> www.blindsight.com/team
>> Elegance is not a dispensable luxury but a factor that decides between
>> success and failure.
>> Edsger Dijkstra
>>
>>  --
>> You received this message because you are subscribed to the Google
>> Groups "tesseract-ocr" group.
>> To post to this group, send email to tesseract-ocr@googlegroups.com
>> To unsubscribe from this group, send email to
>> tesseract-ocr+unsubscr...@googlegroups.com
>> For more options, visit this group at
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>>
>
>

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