Thanks for your reply.

After some test I have better result:

NOME LEZZ.O.........M.......S COGNOME M177. 00146464

M.-M-.S
NATOlML x j E A IJgZHKEQdSI L ........ I PROV. E

RESIDENTEA 0 '''' 23 I VIA M7. jfKill CZSZQQ 35
CAP PROV. 055 mucca risma L61 411M ZlHJiHPf XV QIVETSIAH
CELLT E-MAID miixzavzmwmawtzru m. 

I have filtered only characters with this directive in my letters config 
file

tessedit_char_whitelist 
abcdefghijklmnopqrstuvwxyz.-@'ABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890)

and with those directive in config file
tessedit_write_images T
enable_new_segsearch 1

I will try again ...

Luigi

Il giorno lunedì 29 aprile 2013 18:36:16 UTC+2, sventech ha scritto:
>
> Tesseract is not good for handwritten text, but you could check out 
> http://www.chronoscan.org which uses Tesseract OCR for part of the 
> processing.
>
> There is a free handwriting recognizer at lipitk.sf.net but I'm not sure 
> that'll work for what you want.
> --Sven
>
>
> On Mon, Apr 29, 2013 at 11:09 AM, <[email protected] <javascript:>
> > wrote:
>
>> Hi,
>>
>> have you experience with forms columning and handwritten text?
>>
>>
>>
>>
>> <https://lh6.googleusercontent.com/-zVjYXwREwLc/UX6aouEJb5I/AAAAAAAAAAM/51mXY3TIQJ4/s1600/it5.corsivo.exp0.tif>
>> This is the bad result:
>>
>> NOME i 15/1/80 i COGNOME MÉZL 915*675..6..*..-  ____}
>>
>> NATO/AH. / / 55.555 A e}! / lpaov. [Z2]
>> RESIDENTEAÌ (ÉOSLÎ-UZKÌ Î VIA {a7 Sé/{Rl *SZSZ*l./Q l
>>
>> m9 PROV. [E] comcsnsms [CI ggmzjaîiÃ®ï¬‚ï¬ Ã® A! ÃŒIL/Ié LS*X
>> CELL.* ÉLÃŒZLÌÌIÃŒI: E-MAIL*LE.ZO_ CZNCON/CO@C*OFRNMCS*. 177m. {gï¬ ï¬ 
>> -ï¬ gggg}
>> *
>> *
>> *
>> *
>> *I use uzn file also but the result is terrible ...
>> *
>> *
>> *
>> *(ÌÒQÉ-ÃŒ? 2/71â€*˜
>>
>> Thanks
>> Luigi
>>
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>
>
> -- 
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>   not all those who wander are lost;
> the old that is strong does not wither,
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