Fingerprint Spoof Detection using of Minutiae-Centered Patches and Energy

The individuality of fingerprints is being used tremendously now a days, for a day today applications, ranging from unlocking a smartphone to every security device’s out there. While the major purpose of a fingerprint recognition system is to ensure a reliable and accurate user authentication, the security of the recognition system itself can be jeopardized by spoof attacks. This study addresses the problem of developing accurate and generalizable algorithms for detecting fingerprint spoof attacks. We propose a system which utilizing local patches extracted around fingerprint minutiae. The individuality of �ngerprints is being used for a day-to-day applications, ranging from unlocking a smartphone to major military applications. While the primary purpose of a �ngerprint recognition system is to ensure a reliable and accurate user authentication, the security of the recognition system itself can be jeopardized by spoof attacks. This study addresses the problem of developing accurate and generalizable algorithms for detecting �ngerprint spoof attacks.