Cool!
Thank you very much!
Daniele
Il giorno mercoledì 29 marzo 2023 alle 13:53:15 UTC+2 nguyenng...@gmail.com
ha scritto:
> Forgot to check if the images were properly attached. Here they are:
>
> ----------- image -----------
>
> [image: image.png]
>
> ----------------------
> ----------- gray_image -----------
>
> [image: image.png]
>
> ----------------------
> ----------- blur1 -----------
>
> [image: image.png]
>
> ----------------------
> ----------- otsu -----------
>
> [image: image.png]
>
> ----------------------
> ----------- erosion -----------
>
> [image: image.png]
>
> ----------------------
> ----------- blur -----------
>
> [image: image.png]
>
> ----------------------
> SINGLE_LINE
> 6KDYT?79M"
>
> AUTO
> 6KDYT?79M"
>
> RAW_LINE
> 6KDYT79M
>
> SPARSE_TEXT_OSD
> 6KDYT?79M"
>
> SINGLE_WORD
> 6KDYT79M
>
>
> On Wed, Mar 29, 2023 at 7:51 PM nguyen ngoc hai <nguyenng...@gmail.com>
> wrote:
>
>> I think you may need to do some preprocessing for your image before send
>> it to tesseract:
>>
>> For example:
>> ```
>> ---------------------- ----------- gray_image -----------
>> ---------------------- ----------- blur1 -----------
>> ---------------------- ----------- otsu -----------
>> ---------------------- ----------- erosion -----------
>> ---------------------- ----------- blur -----------
>> ----------------------
>> SINGLE_LINE
>> 6KDYT?79M"
>>
>> AUTO
>> 6KDYT?79M"
>>
>> RAW_LINE
>> *6KDYT79M *
>>
>> SPARSE_TEXT_OSD
>> 6KDYT?79M"
>>
>> SINGLE_WORD
>> *6KDYT79M *
>>
>> ```
>> As you can see, 2 PSM modes could give the correct results:
>>
>> Here is the full code in python:
>>
>> image_org = cv2.imread("unnamed.png")
>> height, width = image_org.shape[:2]
>>
>> # calculate the amount of pixels to crop from the border
>> x_border = int(width * 0.1)
>> y_border = int(height * 0.1)
>>
>> image = image_org[y_border:height-y_border, x_border:width-x_border]
>> cv2_show("image", image, 600)
>>
>> gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
>> cv2_show("gray_image", gray_image, 600)
>>
>> blur1 = cv2.GaussianBlur(gray_image,(21,21),0)
>> cv2_show("blur1", blur1, 600)
>>
>>
>> # global thresholding
>> ret, otsu = cv2.threshold(blur1,0,255,
>> cv2.THRESH_BINARY_INV+cv2.THRESH_OTSU)
>> cv2_show("otsu", otsu, 800)
>>
>> kernel = np.ones((3,3),np.uint8)
>> erosion = cv2.erode(otsu,kernel,iterations = 1)
>> cv2_show("erosion", erosion, 800)
>>
>> blur = cv2.GaussianBlur(erosion,(5,5),0)
>> cv2_show("blur", blur, 600)
>>
>>
>> results = get_text(255-blur)
>> for ret in results:
>> print(ret[0][0])
>> print(ret[1][0])
>>
>> Hope it helps.
>> Regards
>> Hai
>>
>>
>> On Tuesday, March 28, 2023 at 4:00:39 AM UTC+9 Daniele wrote:
>>
>>> Hi,
>>> using a 3rd part software (NormCap) that internally uses tesseract, I
>>> tried to recognize this code:
>>>
>>> [image: immagine]
>>>
>>> The result was a mess, no letter are recognized.
>>> Also the result using CLI and tesseract was a mess. I can't undestand
>>> with params I could use to get right output.
>>>
>>> Can someone help me?
>>> Thanks!
>>>
>>> --
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>> .
>>
>
>
> --
> *Nguyen Ngoc Hai*
>
> *Phone: +81 1488 4168 (JP).*
> *skype ID: nguyenngochaibkhn.*
>
>
>
>
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