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ON THE IMPORTANCE OF USING HIGH RESOLUTION IMAGES, THIRD LEVEL FEATURES AND SEQUENCE OF IMAGES FOR FINGERPRINT SPOOF DETECTION
(Ieee, 2015-01-01)
The successful and widespread deployment of biometric systems brings on a new challenge: the spoofing, which involves presenting an artificial or fake biometric trait to the biometric systems so that unauthorized users can ...
On the importance of using high resolution images, third level features and sequence of images for fingerprint spoof detection
(2015-01-01)
The successful and widespread deployment of biometric systems brings on a new challenge: the spoofing, which involves presenting an artificial or fake biometric trait to the biometric systems so that unauthorized users can ...
A New Multi-filter Framework with Statistical Dense SIFT Descriptor for Spoofing Detection in Fingerprint Authentication Systems
(2021-01-01)
Fingerprint-based authentication systems represent what is most common in biometric authentication systems. Today’s simplest tasks, such as unlocking functions on a personal cell phone, may require its owner’s fingerprint. ...
Fingerprint Liveness Detection Using Convolutional Neural Networks
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCPISCATAWAY, 2016)
Fingerprint Liveness Detection Using Convolutional Neural Networks
(IEEE-Inst Electrical Electronics Engineers IncPiscataway, 2016)
Feature Fusion for Fingerprint Liveness Detection: A Comparative Study
(Institute of Electrical and Electronics Engineers Inc., 2017-10)
Spoofing attacks carried out using artificial replicas are a severe threat for fingerprint-based biometric systems and, thus, require the development of effective countermeasures. One possible protection method is to ...
DEEP FEATURES EXTRACTION FOR ROBUST FINGERPRINT SPOOFING ATTACK DETECTION
(Sciendo, 2019-01-01)
Biometric systems have been widely considered as a synonym of security. However, in recent years, malicious people are violating them by presenting forged traits, such as gelatin fingers, to fool their capture sensors ...
Evaluating Software-based Fingerprint Liveness Detection Using Convolutional Networks And Local Binary Patterns
(Institute of Electrical and Electronics Engineers Inc., 2014)
Deep Representations For Iris, Face, And Fingerprint Spoofing Detection
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCPISCATAWAY, 2015)