psr? 

On Thursday, August 20, 2015 at 3:02:02 PM UTC-4, Allistair C wrote:
>
> Try different psr too - I got close with psr 6
>
> Sent from my iPhone
>
> On 20 Aug 2015, at 19:59, Amit Rao <rao....@gmail.com <javascript:>> 
> wrote:
>
> Thanks. I tried scaling the image horizontally trying different widths and 
> heights and the best Tesseract could do for 09:43 AM was  
>
> *ocr string = @9243 RH*
>
>
> I'll check out the threads on LCD/clock type reading. Thanks for the 
> pointer. 
>
>
> -amit
>
> On Thursday, August 20, 2015 at 8:09:58 AM UTC-4, Allistair C wrote:
>>
>> So another thing you could try ... I notice that everything is 
>> horizontally compressed. You could try scaling the image horizontally only 
>> to stretch things out (like I attach). 
>>
>> This would then make the problem similar to those looking to read e.g. 
>> digital clock text - there are a variety of threads on this group about 
>> LCD/clock type reading that may then reveal further things you could do 
>> from that point.
>>
>>
>>
>> On 20 August 2015 at 13:03, Allistair <alli...@gmail.com> wrote:
>>
>>> The font does not look like that - look the shape of the 0 which has a 
>>> strikethrough in your image but not in Lucinda of the M shape. I am not 
>>> sure font training will do a lot here, I think it's more the quality of the 
>>> edges in your image due to the dot matrix printing or however it's printed 
>>> producing uncertain edges. 
>>>
>>> Perhaps others can chip in.
>>>
>>> On 20 August 2015 at 10:31, Amit Rao <rao....@gmail.com> wrote:
>>>
>>>> Thanks, Allistair. I was guessing that this font was similar to Lucida 
>>>> Console. e.g.
>>>>
>>>>
>>>> https://www.google.com/search?q=lucida+console+font&espv=2&biw=1174&bih=761&tbm=isch&tbo=u&source=univ&sa=X&sqi=2&ved=0CCUQsARqFQoTCKrkzcypt8cCFQddHgod7XsPDw#imgrc=H27K5k9g7hx19M%3A
>>>>
>>>> However, I don't know for certain what font this is and I don't know of 
>>>> a tool that will help me know for sure which font the image uses. The only 
>>>> text I am really interested in is "HH:MM AM/PM" but if I crop the image to 
>>>> include only the time Tesseract is still not able to read it similar to 
>>>> what you reported.. I cropped the image to include 09:43 AM and it reads 
>>>> it 
>>>> as  *@9243 Rh*
>>>>
>>>> If this is a font that Tesseract does not recognize would it help 
>>>> augmenting the training data set with data from images with this format 
>>>> and 
>>>> font? 
>>>>
>>>> Thanks,
>>>> amit
>>>>
>>>>
>>>>
>>>> On Thursday, August 20, 2015 at 4:34:25 AM UTC-4, Allistair C wrote:
>>>>>
>>>>> Which Lucinda font do you think this is? All Lucinda fonts I see in a 
>>>>> Google Image search are nothing like this.
>>>>>
>>>>> You're right, this does not OCR well. In fact, if you just crop out a 
>>>>> part of it to remove other noise, say, 09:43 AM, even with lots of margin 
>>>>> Tesseract isn't even finding anything it thinks looks like text in normal 
>>>>> page segmentation.
>>>>>
>>>>> The best I got (for the cropped out time) was:
>>>>>
>>>>> 39:43 HH
>>>>>
>>>>> So 28% incorrect.
>>>>>
>>>>> The definition of the 'M' is quite eroded already which is not great.
>>>>>
>>>>>
>>>>>
>>>>> On 20 August 2015 at 08:29, Amit Rao <rao....@gmail.com> wrote:
>>>>>
>>>>>> HI folks, 
>>>>>>
>>>>>> I am using Tesseract IOS SDK to OCR parking stubs. The parking stubs 
>>>>>> are primarily in 2 formats. Tesseract does quite well on one of the 
>>>>>> formats 
>>>>>> but the OCR text 
>>>>>> for the second format is pretty much useless. I have attached the 
>>>>>> image that Tesseract is unable to OCR. If someone is able to report any 
>>>>>> success with OCRing this image 
>>>>>> I would really appreciate it. So far I have tried the following but 
>>>>>> they do not help with the OCR results.
>>>>>>
>>>>>> 1. Cropping the image
>>>>>> 2. Reducing the height and width of the image with same/different 
>>>>>> aspect ratio
>>>>>> 3. Binarizing the image into black and white
>>>>>> 4. Filtering the image to smoothen the image. 
>>>>>>
>>>>>> I haven't tried augmenting the training data set yet. The font seems 
>>>>>> to be pretty standard (Lucida) and my understanding is that unless the 
>>>>>> fonts are non-standard 
>>>>>> augmenting the training data will not be very useful. 
>>>>>>
>>>>>> Your help/suggestions will be greatly appreciated. 
>>>>>>
>>>>>> Thank you,
>>>>>> Amit Rao
>>>>>>
>>>>>>
>>>>>>
>>>>>>
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>>>>>
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>>>
>>>
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