What about:
tesseract --help
;-)

Zdenko


ut 23. 4. 2019 o 16:59 alex kelly <[email protected]> napísal(a):

> Thanks for getting back to me.  When i run it i get an error, any ideas
> why and how to resolve it?
>
> pi@ShopFloorOCRReader:~ $ tesseract --psm 6
> "test_images/cropped_image.jpg"
> Tesseract Open Source OCR Engine v3.04.01 with Leptonica
> read_params_file: parameter not found: ����
>
>
>
> On Sunday, 14 April 2019 10:59:53 UTC+1, Lorenzo Blz wrote:
>>
>> Hi Alex,
>> you need to pre process the image a little.
>>
>> First negate it, tesseract expect dark on white background text.
>>
>> Then use --psm 6 to tell tesseract that this is a single block or text
>> and not a complex page to split in paragraphs. Also try psm 7, single line.
>>
>> tesseract --psm 6 cropped_image.jpg -
>> 1.4 95500>0
>>
>> Now by stretching the contrast (or and OTSU/adaptive threshold) and
>> straightening the image I get (almost) correct results, see the attached
>> image.
>>
>> 1 4 9 55 0 5
>>
>> Ideally you want an image as simple as possible, black text on white
>> background. You may also try to crop the black border out, if possible.
>>
>> Have a look here on how to isolate blocks of text:
>>
>>
>> https://www.pyimagesearch.com/2017/07/17/credit-card-ocr-with-opencv-and-python/
>>
>> https://www.pyimagesearch.com/2017/02/20/text-skew-correction-opencv-python/
>>
>>
>> Bye
>>
>> Lorenzo
>>
>>
>>
>> Il giorno sab 13 apr 2019 alle ore 19:36 alex kelly <[email protected]>
>> ha scritto:
>>
>>> Hello,
>>>
>>> I'm trying to OCR a small grey scale image, its for a energy meter but
>>> it says the image is to small  - the full response is below:
>>>
>>> pi@OCRReader:~ $ tesseract test_images/cropped_image.png out
>>> Tesseract Open Source OCR Engine v3.04.01 with Leptonica
>>> Error in pixGenerateHalftoneMask: pix too small: w = 230, h = 50
>>> Empty page!!
>>> Error in pixGenerateHalftoneMask: pix too small: w = 230, h = 50
>>> Empty page!!
>>>
>>> How can I make tesseract-ocr read the value?
>>>
>>> I can send this to google computer vission API but i would rather do
>>> this on the device (rather than sending it to the cloud) and I was
>>> recommended tesseract.  If there is a better solution, please let me
>>> know.
>>>
>>> Thanks
>>>
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