Provided by: gocr_0.52-1_amd64 bug

NAME

       gocr - command line text recognition tool

SYNOPSIS

       gocr [OPTION] [-i] pnm-file

DESCRIPTION

       gocr  is  an optical character recognition program that can be used from the command line.
       It takes input in PNM, PGM, PBM, PPM, or PCX format, and writes recognized text to stdout.
       If  the pnm file is a single dash, PNM data is read from stdin.  If gzip, bzip2 and netpbm
       are installed and your system supports popen(3) also  pnm.gz,  pnm.bz2,  png,  jpg,  jpeg,
       tiff,  gif, bmp, ps (only single pages) and eps are supported as input files (not as input
       stream), where pnm can be replaced by one of ppm, pgm and pbm.

OPTIONS

       -h     show usage information

       -V     show version information

       -i file
              read input from file (or stdin if file is a single dash)

       -o file
              send output to file instead of stdout

       -e file
              send errors to file instead of stderr or to stdout if file is a dash

       -x file
              progress output to file (file can be a file name, a fifo name or a file  descriptor
              1...255),  this  is  useful  for GUI developpers to show the OCR progress, the file
              descriptor argument is only available, if compiled with __USE_POSIX defined

       -p path
              database path, a final slash must be included, default is ./db/, this path will  be
              populated with images of learned characters

       -f format
              output  format of the recognized text (ISO8859_1 TeX HTML XML UTF8 ASCII), XML will
              also output position and probability data

       -l level
              set grey level to level (0<160<=255, default:  0  for  autodetect),  darker  pixels
              belong  to  characters,  brighter pixels are interpreted as background of the input
              image

       -d size
              set dust size in pixels (clusters smaller  than  this  are  removed),  0  means  no
              clusters are removed, the default is -1 for auto detection

       -s num set  spacewidth  between  words in units of dots (default: 0 for autodetect), wider
              widths are interpreted as word spaces, smaller as character spaces

       -v verbosity
              be verbose to stderr; verbosity is a bitfield

       -c string
              only verbose output of characters from string to stderr, more output  is  generated
              for all characters within the string, the underscore stands for unknown chars, this
              function is usefull to limit debug information to the necessary one

       -C string
              only recognise characters from string, this is a filter function in cases where the
              interest  is  only  to  a part of the character alphabet, you can use 0-9 or a-z to
              specify ranges, use -- to detect the minus sign

       -a certainty
              set value for certainty of recognition (0..100; default:  95),  characters  with  a
              higher  certainty  are  accepted,  characters with a lower certainty are treated as
              unknown (not recognized); set higher values, if you want to have only more  certain
              recognized characters

       -u string
              output this string for every unrecognized character (default is "_")

       -m mode
              set oprational mode; mode is a bitfield (default: 0)

       -n bool
              if  bool  is  non-zero,  only  recognise  numbers  (this  is  now  obsolete, use -C
              "0123456789")

       The verbosity is specified as a bitfield:

       1         print more info

       2         list shapes of boxes (see -c) to stderr

       4         list pattern of boxes (see -c) to stderr

       8         print pattern after recognition for debugging

       16        print debug information about recognition of lines to stderr

       32        create outXX.png with boxes and lines marked on each general OCR-step

       The operation modes are:

       2         use  database  to  recognize  characters  which  are  not  recognized  by  other
                 algorithms, (early development)

       4         switching on layout analysis or zoning (development)

       8         don't compare unrecognized characters to recognized one

       16        don't try to divide overlapping characters to two or three single characters

       32        don't do context correction

       64        character  packing,  before  recognition starts, similar characters are searched
                 and only one  of  this  characters  will  be  send  to  the  recognition  engine
                 (development)

       130       extend  database,  prompts  user  for  unidentified  characters  and extends the
                 database with users answer (128+2, early development)

       256       switch off the recognition engine (makes sense together with -m 2)

AUTHOR

       Joerg Schulenburg (see http://www-e.uni-magdeburg.de/jschulen/ocr/ for EMAIL)
       First version of man page by Tim Waugh <twaugh@redhat.com>

VERSION INFORMATION

       This man page documents gocr, version 0.52.

REPORTING BUGS

       Report bugs to Joerg Schulenburg

SEE ALSO

       More  details   can   be   found   at   /usr/share/doc/gocr-X.XX/gocr.html.    Also   read
       /usr/share/doc/gocr-X.XX/README to learn, how to improve results.

EXAMPLES

       gocr -v 33 text1.pbm
              output  verbose  information,  out30.png  is  created to see details of recognition
              process

       gocr -v 7 -c _YV text1.pbm
              verbose output for unknown chars and chars Y and V

       djpeg -pnm -gray text.jpg | gocr -
              convert a jpeg file to pnm format and input via pipe