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NIST
Special Database 19
NIST Handprinted
Forms and Characters Database
Price:
$90.00. 
Special Database 19 contains
NIST's entire corpus of training materials for handprinted document and
character recognition. It publishes Handprinted Sample Forms from 3600
writers, 810,000 character images isolated from their forms, ground truth
classifications for those images, reference forms for further data collection,
and software utilities for image management and handling. It supersedes
NIST Special Databases 3 and 7.
The
features of this database are:
- Final
accumulation of NIST's handprinted sample data
- Full page HSF
forms from 3600 writers
- Separate digit,
upper and lower case, and free text fields
- Over 800,000
images with hand checked classifications
- Binary images
scanned at 11.8 dots per mm (300dpi)
- Updated CCITT
IV Compression Source Code
- Database management
utilities.
The database is
NIST's largest and probably final release of images intended for handprint
document processing and OCR research. The full page images are the default
input to the NIST
FORM-BASED HANDPRINT RECOGNITION SYSTEM, a public domain release of
end-to-end recognition software.
The images of Special
Database 19 form a superset of the images of two previous releases: NIST
Special Databases 3 and 7, which are now discontinued.
System
requirements: CD-ROM drive with software to read ISO-9660
format.
Price:
$90.00.
Special pricing available
for multiple copies. Call for details.
Please click here
to view the PDF version of Users' Guide
For
more information please contact:
- Standard Reference
Data Program
National Institute of Standards and Technology
100 Bureau Dr., Stop 2300
Gaithersburg, MD 20899-2310
(301) 975-2008 (VOICE) / (301) 926-0416 (FAX)
Contact Us
The
scientific contact for this database is:
- Patrick J. Grother
National Institute of Standards and Technology
100 Bureau Drive, Stop 8940
Building 225, Room A216
Gaithersburg, MD 20899-8940
(301) 975-4157
patrick.grother@nist.gov
Keywords:
Automated character recognition; automated data capture; character
recognition; forms recognition; handwriting recognition; OCR; optical
character recognition; software recognition.
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