Glossary of Terms

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V

Validation A process that raises the probability that captured data is correct. Although sometimes performed manually, faster and more accurate results are achieved when validation is automated. Frequently this is accomplished by comparing captured data to information contained in a database. For example, the city and Post code from an order can be checked against a postal service database to be sure they match. If so, the order can continue to be processed. If not, the order can be flagged and presented to an operator for correction before further processing. Logical validation procedures also can be employed. For example, an IRD number consists of nine numbers. If a captured IRD contains more or fewer numbers, or if a letter or symbol is detected as one of the characters, validation fails and the data must be reviewed and corrected.

Verification A procedure used when captured information absolutely must be correct. Typically, two or more operators will key data from the same captured image. If their entries don’t match, verification fails and the data must be reviewed and corrected.

Voting A technique used to improve OCR/ICR accuracy. Multiple OCR/ICR engines, each utilizing a different identification algorithm, independently evaluate an alpha-numeric character and cast a “vote” with their best guess as to its identity. If the voting is not unanimous, the character receiving the most “votes” wins.

Glossary compiled from a variety of sources, including Kofax, MS Tech Net and Wikipedia.

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V
Validation	A process that raises the probability that captured data is correct. Although sometimes performed manually, faster and more accurate results are achieved when validation is automated. Frequently this is accomplished by comparing captured data to information contained in a database. For example, the city and Post code from an order can be checked against a postal service database to be sure they match. If so, the order can continue to be processed. If not, the order can be flagged and presented to an operator for correction before further processing. Logical validation procedures also can be employed. For example, an IRD number consists of nine numbers. If a captured IRD contains more or fewer numbers, or if a letter or symbol is detected as one of the characters, validation fails and the data must be reviewed and corrected.
Verification	A procedure used when captured information absolutely must be correct. Typically, two or more operators will key data from the same captured image. If their entries don’t match, verification fails and the data must be reviewed and corrected.
Voting	A technique used to improve OCR/ICR accuracy. Multiple OCR/ICR engines, each utilizing a different identification algorithm, independently evaluate an alpha-numeric character and cast a “vote” with their best guess as to its identity. If the voting is not unanimous, the character receiving the most “votes” wins.