Results 21 to 30 of about 2,062 (252)

Densely Connected Convolutional Network Optimized by Genetic Algorithm for Fingerprint Liveness Detection

open access: yesIEEE Access, 2021
Fingerprint liveness detection is an essential module for an accurate and reliable fingerprint identification system. In this paper, a Densely Connected Convolutional Network (DenseNet) is used for fingerprint liveness detection and the genetic algorithm
Wen Jian, Yujie Zhou, Hongming Liu
doaj   +1 more source

Fingerprint liveness detection through fusion of pores perspiration and texture features

open access: yesJournal of King Saud University: Computer and Information Sciences, 2022
Spoofing attacks on the fingerprint scanners become major and serious concern with the growing development and use of biometric technologies. Level 1 and Level 2 features; which are said to be unique and most commonly used features in fingerprint ...
Diwakar Agarwal, Atul Bansal
doaj   +1 more source

FLDNet: Light Dense CNN for Fingerprint Liveness Detection

open access: yesIEEE Access, 2020
Fingerprint liveness detection has gained increased attention recently due to the growing threat of spoof presentation attacks. Among the numerous attempts to deal with this problem, the Convolutional Neural Networks (CNN) based methods have shown ...
Yongliang Zhang   +5 more
doaj   +1 more source

Fingerprint Liveness Detection Using Deep Learning

open access: yes2022 9th International Conference on Future Internet of Things and Cloud (FiCloud), 2022
It has great importance to provide the highest accuracy from fingerprint identification and verification systems, which have a large number of biometric features. Fingerprint recognition systems are more widely utilized than other biometric feature recognition systems.
Ozkiper, Zeynep Inel   +3 more
openaire   +2 more sources

Uniform Local Binary Pattern for Fingerprint Liveness Detection in the Gaussian Pyramid

open access: yesJournal of Electrical and Computer Engineering, 2018
Fingerprint recognition schemas are widely used in our daily life, such as Door Security, Identification, and Phone Verification. However, the existing problem is that fingerprint recognition systems are easily tricked by fake fingerprints for ...
Yujia Jiang, Xin Liu
doaj   +1 more source

A New Multi-Filter Framework for Texture Image Representation Improvement Using Set of Pattern Descriptors to Fingerprint Liveness Detection

open access: yesIEEE Access, 2022
The use of user recognition and authentication systems has become very common and is part of everyday routines for many people, guaranteeing access to the automatic teller machines, entrance to the gym or even to smartphones.
Rodrigo Colnago Contreras   +6 more
doaj   +1 more source

RF Sensor-Based Liveness Detection Scheme With Loop Stability Compensation Circuit for a Capacitive Fingerprint System

open access: yesIEEE Access, 2019
A capacitive fingerprint system is the most widely used biometric identification method for smartphones. In this paper, we propose a RF sensor-based liveness detection scheme.
Woojung Kim   +4 more
doaj   +1 more source

Wavelet based fingerprint liveness detection

open access: yesElectronics Letters, 2005
Proposed is a simple and effective approach for fingerprint liveness detection based on the wavelet analysis of the finger tip surface texture. Experimental results show that the method can successfully differentiate live finger tips from fake finger tips made of the most commonly used materials in fingerprint spoofing.
Y.S. Moon   +4 more
openaire   +1 more source

Biometric presentation attack detection: beyond the visible spectrum [PDF]

open access: yes, 2019
The increased need for unattended authentication in multiple scenarios has motivated a wide deployment of biometric systems in the last few years. This has in turn led to the disclosure of security concerns specifically related to biometric systems ...
Busch, Christoph   +3 more
core   +3 more sources

Fingerprint Liveness Detection Based on Fine-Grained Feature Fusion for Intelligent Devices

open access: yesMathematics, 2020
Currently, intelligent devices with fingerprint identification are widely deployed in our daily life. However, they are vulnerable to attack by fake fingerprints made of special materials.
Xinting Li   +5 more
doaj   +1 more source

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