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A New Approach for Fingerprint Verification Based on Wide Baseline Matching Using Local Interest Points and Descriptors
(Springer-Verlag, 2007)
In this article is proposed a new approach to automatic fingerprint
verification that is not based on the standard ridge-minutiae-based framework,
but in a general-purpose wide baseline matching methodology. Instead of ...
Performance evaluation of an automatic fingerprint classification algorithm adapted to a Vucetich based classification system
(Springer, 2001)
We study and evaluate an automatic fingerprint classification algorithm that we apply over the fully manual identification system being used by the Dirección Nacional de Identificación Civil (DNIC). To be compatible with ...
A multiscale directional operator and morphological tools for reconnecting broken ridges in fingerprint images
(Pergamon-elsevier Science LtdOxfordInglaterra, 2008)
Fingerprint classification with neural networks
(Curitiba, 1997)
This paper presents some intermediate results on fingerprint classification adopting a neural network as decision stage, in order to evaluate the performance of a discrete wavelet transform as feature extraction technique. ...
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. ...
Wavelet-based fingerprint image retrieval
(Elsevier Science BvAmsterdamHolanda, 2009)
Fingerprint ridge orientation estimation using a modified Canny Edge Detection Mask
(2012-10-03)
Fingerprint recognition is arguably the most
popular biometric used in authentication of
individuals today. One critical step in the process of automatic fingerprint recognition is the segmentation of a digital 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)