gle character based texts as follows
>
> On Wed, Jun 20, 2018 at 9:00 PM Shree Devi Kumar
> wrote:
>
>> You will have better control on training if you use tesstrain.sh provided
>> with tesseract.
>>
>> On Wed, Jun 20, 2018 at 8:52 PM Navaneetha Bitla
ok fine
On Thu, Jun 21, 2018 at 11:55 AM, Shree Devi Kumar
wrote:
> Thank you very much sir
>
>
> Ma'am, not Sir. I am Mrs. Kumar.
>
> Let me know if you have any questions or need clarification regarding the
> scripts. I will post them on the wiki after any needed changes.
>
>>
>> --
> You rece
t; --traineddata $bestdata_dir/$Lang.traineddata \
>> --model_output "$trained_output_dir/$Lang-finetune-$Lang.traineddata"
>>
>> fi
>>
>> if [ $RunEval = "yes" ]; then
>>
>> echo "## EVAL ORIGINAL MODEL ##"
>>
&g
8 at 8:52 PM Navaneetha Bitla
> wrote:
>
>> http://www.1001fonts.com/handwritten-fonts.html.
>>
>> the above link has 1900+ fonts from that site i have downloaded the ttf
>> files of fonts and converted to tiff files online.
>>
>> then i have trained the tiff
ing fonts?
>
> On Tuesday, June 19, 2018 at 5:19:54 PM UTC+1, Navaneetha Bitla wrote:
>>
>> serak trainer using training tesseract 3.5.
>>
>>
>>
>> On Tue, Jun 19, 2018 at 9:29 PM, James Q wrote:
>>
>>> Hi Navaneetha
>>> I am also lo
day, June 19, 2018 at 10:30:30 AM UTC+1, Navaneetha Bitla wrote:
>>
>> Hi, this is Navaneetha
>>
>> i'm working in hand written character recognition project.
>>
>> I have trained 1300 different hand written fonts of english and moved the
>> files into tessda
ch version of tesseract/.
>
> How did you train the fonts? What was accuracy level for training? How
> many iterations?
>
> On Tue, Jun 19, 2018 at 3:00 PM Navaneetha Bitla
> wrote:
>
>> Hi, this is Navaneetha
>>
>> i'm working in hand written character reco
Hi, this is Navaneetha
i'm working in hand written character recognition project.
I have trained 1300 different hand written fonts of english and moved the
files into tessdata directory.
tested tesseract using the below commands:
$convert -density 300 input.png -depth 8 -strip -background wh
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