Method of combining spectral data with non-spectral data in a produce recognition system
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United States of America Patent
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Aug 12, 2003
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app pub date -
Aug 16, 2000
filing date -
Aug 16, 2000
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Abstract
A method of combining spectral data with non-spectral data which uses a defined distance measure of likeness (DML) value and conditional probabilities. The method includes the steps of collecting the spectral and non-spectral data for the produce item, determining DML values between the spectral and the non-spectral data and reference produce data for a plurality of types of produce items, determining conditional probability densities for all of the types of produce items using the DML values, combining the conditional probability densities to form a combined conditional probability density, and determining probabilities for the types of produce items from the combined conditional probability density.
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