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NIST NERDS 22017NIST Special Database 2
Structured Forms Database
Version 2.0
Users\' Guide
Darren Gimmick
Michael Harris
Charles Wilson
Patricia FlanaganThis publication is available free of charge
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How to fill out nist special database 2
How to fill out nist special database 2
01
To fill out the NIST Special Database 2, follow these steps:
02
Gather the necessary information and data that needs to be included in the database.
03
Ensure that all the data is in the required format and meets the specifications provided by NIST.
04
Prepare the template or structure of the database according to the guidelines provided by NIST.
05
Enter the data point by point into the respective fields of the database.
06
Double-check and validate the entered data to ensure accuracy and completeness.
07
Review the filled-out database to make sure it meets all the necessary requirements set by NIST.
08
Save the database in the specified format or upload it to the designated platform as instructed by NIST.
09
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Keep a backup copy of the filled-out database for future reference or updates.
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Follow any additional instructions provided by NIST regarding the submission and maintenance of the database.
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What is nist special database 2?
NIST Special Database 2 is a collection of handwritten character samples used for offline optical character recognition.
Who is required to file nist special database 2?
Researchers and developers working on offline optical character recognition technologies may be required to file NIST Special Database 2.
How to fill out nist special database 2?
To fill out NIST Special Database 2, researchers and developers need to provide handwritten character samples for use in optical character recognition systems.
What is the purpose of nist special database 2?
The purpose of NIST Special Database 2 is to provide a standardized collection of handwritten character samples for research and development in optical character recognition.
What information must be reported on nist special database 2?
NIST Special Database 2 requires researchers to report handwritten character samples for use in offline optical character recognition systems.
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