Understood ... I would recommend to search any of the papers published on 
tesseract .. probably some one would have touched on how the confidence is 
calculated. 

On Friday, June 9, 2017 at 12:09:15 AM UTC-7, Thilina Jayathilaka wrote:
>
> *What do you mean by changing accuracy levels of tesseract? *
>
> I meant that if I know how Tesseract calculates its confidence value, can 
> I make an effect to final confidence by changing some configurations like 
> dictionary search or unambiguous char probability?
>
> On Thursday, 8 June 2017 01:21:43 UTC+5:30, akhil katpally wrote:
>>
>>  3-> Yes you can get the confidence at the character level ... please see 
>> the tesseract api examples ... 
>> https://github.com/tesseract-ocr/tesseract/wiki/APIExample#example-of-iterator-over-the-classifier-choices-for-a-single-symbol
>>  
>>   
>>  1-> Don't know .. i am looking for it as well. Hope this will be helpful 
>> .. When ever tesseract tries to recognizes a particular character it has 
>> different choices for that letter, of all those it takes one with maximum 
>> confidence value and returns to us ... you can even get the difference 
>> choices and its confidence with tesseract::ChoiceIterator() method.
>> 2-> What do you mean by changing accuracy levels of tesseract?   
>> On Thursday, June 1, 2017 at 4:09:12 AM UTC-7, Thilina Jayathilaka wrote:
>>>
>>> Hello, 
>>>
>>> 1. I need to know what is the confidence value (returned by tesseract 
>>> API) and how it calculates that value? 
>>>
>>> 2. Is there any possibility that I can change the accuracy levels of 
>>> tesseract? 
>>>
>>> 3. Can I detect the confidence value for *each letter* separately when 
>>> I pass an image which contains a *word*?
>>>
>>

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