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Biometrics recognition using deep learning: A survey
In the past few years, deep learning-based models have been very successful in achieving
state-of-the-art results in many tasks in computer vision, speech recognition, and natural …
state-of-the-art results in many tasks in computer vision, speech recognition, and natural …
Biohashing: two factor authentication featuring fingerprint data and tokenised random number
Human authentication is the security task whose job is to limit access to physical locations or
computer network only to those with authorisation. This is done by equipped authorised …
computer network only to those with authorisation. This is done by equipped authorised …
A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation
Fingerprint recognition has found a reliable application for verification or identification of
people in biometrics. Globally, fingerprints can be viewed as valuable traits due to several …
people in biometrics. Globally, fingerprints can be viewed as valuable traits due to several …
A new approach for locating the minor apical foramen using an artificial neural network
Saghiri MA, Asgar K, Boukani KK, Lotfi M, Aghili H, Delvarani A, Karamifar K, Saghiri AM,
Mehrvarzfar P, Garcia‐Godoy F. A new approach for locating the minor apical foramen using …
Mehrvarzfar P, Garcia‐Godoy F. A new approach for locating the minor apical foramen using …
Local binary patterns for a hybrid fingerprint matcher
In this work, we present a novel hybrid fingerprint matcher system based on local binary
patterns. The two fingerprints to be matched are first aligned using their minutiae, then the …
patterns. The two fingerprints to be matched are first aligned using their minutiae, then the …
Robust biometric authentication system with a secure user template
Biometric feature based human authentication systems provide various advantages over the
classical authentication systems. Out of numerous biometric features in a human body, the …
classical authentication systems. Out of numerous biometric features in a human body, the …
High resolution partial fingerprint alignment using pore–valley descriptors
This paper discusses the alignment of high resolution partial fingerprints, which is a crucial
step in partial fingerprint recognition. The previously developed fingerprint alignment …
step in partial fingerprint recognition. The previously developed fingerprint alignment …
A fingerprint verification algorithm using tessellated invariant moment features
JC Yang, DS Park - Neurocomputing, 2008 - Elsevier
In this paper, an enhanced image-based fingerprint verification algorithm is proposed to
improve matching accuracy and processing speed by overcoming the demerits of previous …
improve matching accuracy and processing speed by overcoming the demerits of previous …
Descriptors for image-based fingerprint matchers
This paper focuses on the use of image-based techniques in fingerprint verification. A
detailed review of the existing literature is provided by classifying existing methods on the …
detailed review of the existing literature is provided by classifying existing methods on the …
Fingerprint matching based on global comprehensive similarity
Y He, J Tian, L Li, H Chen… - IEEE transactions on …, 2006 - ieeexplore.ieee.org
This paper introduces a novel algorithm based on global comprehensive similarity with three
steps. To describe the Euclidean space-based relative features among minutiae, we first …
steps. To describe the Euclidean space-based relative features among minutiae, we first …