Abstract: Methods and validation apparatus for achieving improved acceptance and rejection for coins, bills and other currency items. One aspect includes modifying item acceptance criteria by creating and defining three-dimensional acceptance clusters, the data for which are stored in look-up tables in memory associated with a microprocessor. A second aspect involves fraud prevention by temporarily tightening or readjusting item acceptance criteria when a potential fraud attempt is detected. A third aspect relates to minimizing the effects of counterfeit items such as slugs on the self-adjustment process for the item acceptance criteria. A final aspect relates to calculation of a relative value of the acceptance criteria in order to conserve memory space and minimize computation time.

Abstract: Money items are validated by determining whether n measured properties lie within an n-dimensional ellipse associated with a particular money item. The center of the ellipse lies on the statistical mean of the property measurements for that particular item, and each axis is related to the standard deviation for a respective property measurement.

Abstract: Methods and validation apparatus for achieving improved acceptance and rejection for coins, bills and other currency items. One aspect includes modifying item acceptance criteria by creating and defining three-dimensional acceptance clusters, the data for which are stored in look-up tables in memory associated with a microprocessor. A second aspect involves fraud prevention by temporarily tightening or readjusting item acceptance criteria when a potential fraud attempt is detected. A third aspect relates to minimizing the effects of counterfeit items such as slugs on the self-adjustment process for the item acceptance criteria. A final aspect relates to calculation of a relative value of the acceptance criteria in order to conserve memory space and minimize computation time.

Abstract: Methods and validation apparatus for achieving improved acceptance and rejection for coins, bills and other currency items. One aspect includes modifying item acceptance criteria by creating and defining three-dimensional acceptance clusters, the data for which are stored in look-up tables in memory associated with a microprocessor. A second aspect involves fraud prevention by temporarily tightening or readjusting item acceptance criteria when a potential fraud attempt is detected. A third aspect relates to minimizing the effects of counterfeit items such as slugs on the self-adjustment process for the item acceptance criteria. A final aspect relates to calculation of a relative value of the acceptance criteria in order to conserve memory space and minimize computation time.

Abstract: Methods and validation apparatus for achieving improved acceptance and rejection for coins, bills and other currency items. One aspect includes modifying item acceptance criteria by creating and defining three-dimensional acceptance clusters, the data for which are stored in look-up tables in memory associated with a microprocessor. A second aspect involves fraud prevention by temporarily tightening or readjusting item acceptance criteria when a potential fraud attempt is detected. A third aspect relates to minimizing the effects of counterfeit items such as slugs on the self-adjustment process for the item acceptance criteria. A final aspect relates to calculation of a relative value of the acceptance criteria in order to conserve memory space and minimize computation time.

Abstract: Methods and validation apparatus for achieving improved acceptance and rejection for coins, bills and other currency items. One aspect includes modifying item acceptance criteria by creating and defining three-dimensional acceptance clusters, the data for which are stored in look-up tables in memory associated with a micorprocessor. A second aspect involves fraud prevention by temporarily tightening or readjusting item acceptance criteria when a potential fraud attempt is detected. A third aspect relates to minimizing the effects of couterfeit items such as slugs on the self-adjustment process for the item acceptance criteria. A final aspect relates to calculation of a relative value of the acceptance criteria in order to conserve memory space and minimize computation time.