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

