feature extraction-classification model

feature extraction-classification model

[′fē·chər ik¦strak·shən ‚klas·ə·fə¦kā·shən ‚mäd·əl]
(computer science)
A method of automatic pattern recognition in which recognition is achieved by making measurements on the patterns to be recognized, and then deriving features from these measurements.