SFFS
Implementation of sequential forward floating selection algorithm for supervised learning course
Install / Use
/learn @brendanoconnor913/SFFSREADME
Specification
Implement Sequential Forward Floating Selection (SFFS) Scheme as a wrapper to obtain optimum features for the spoof detector.
Abstract
A spoof detector is a two class classifier that distinguishes live samples from the fake artifacts. Two type of f eatures namely local binary patterns ( LBP ) and Binary Gabor Patterns (BGP) have been extracted from live and fake fingerprint images from LivDet 2011 fingerprint spoof dataset captured using Digital fingerprint sensor . Support Vector Machine ( SVM ) classifier is used to train and validate the spoof detector .
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