AIMC Topic: Biometric Identification
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Stacking-Based Deep Neural Network: Deep Analytic Network for Pattern Classification.
IEEE transactions on cybernetics
Dec 3, 2020
Stacking-based deep neural network (S-DNN) is aggregated with pluralities of basic learning modules, one after another, to synthesize a deep neural network (DNN) alternative for pattern classification. Contrary to the DNNs trained from end to end by ...
Bidirectional Attention for Text-Dependent Speaker Verification.
Sensors (Basel, Switzerland)
Nov 27, 2020
Automatic speaker verification provides a flexible and effective way for biometric authentication. Previous deep learning-based methods have demonstrated promising results, whereas a few problems still require better solutions. In prior works examini...
Contact-Free Multispectral Identity Verification System Using Palm Veins and Deep Neural Network.
Sensors (Basel, Switzerland)
Oct 6, 2020
Devices and systems secured by biometric factors became a part of our lives because they are convenient, easy to use, reliable, and secure. They use information about unique features of our bodies in order to authenticate a user. It is possible to en...
On the robustness of skeleton detection against adversarial attacks.
Neural networks : the official journal of the International Neural Network Society
Sep 28, 2020
Human perception of an object's skeletal structure is particularly robust to diverse perturbations of shape. This skeleton representation possesses substantial advantages for parts-based and invariant shape encoding, which is essential for object rec...
Deep Learning Approach for Multimodal Biometric Recognition System Based on Fusion of Iris, Face, and Finger Vein Traits.
Sensors (Basel, Switzerland)
Sep 27, 2020
With the increasing demand for information security and security regulations all over the world, biometric recognition technology has been widely used in our everyday life. In this regard, multimodal biometrics technology has gained interest and beca...
Face and Body-Based Human Recognition by GAN-Based Blur Restoration.
Sensors (Basel, Switzerland)
Sep 14, 2020
The long-distance recognition methods in indoor environments are commonly divided into two categories, namely face recognition and face and body recognition. Cameras are typically installed on ceilings for face recognition. Hence, it is difficult to ...
Person identification from EEG using various machine learning techniques with inter-hemispheric amplitude ratio.
PloS one
Sep 11, 2020
Association between electroencephalography (EEG) and individually personal information is being explored by the scientific community. Though person identification using EEG is an attraction among researchers, the complexity of sensing limits using su...
Detecting face presentation attacks in mobile devices with a patch-based CNN and a sensor-aware loss function.
PloS one
Sep 4, 2020
With the widespread use of biometric authentication comes the exploitation of presentation attacks, possibly undermining the effectiveness of these technologies in real-world setups. One example takes place when an impostor, aiming at unlocking someo...
Deep Learning-Based Real-Time Multiple-Person Action Recognition System.
Sensors (Basel, Switzerland)
Aug 23, 2020
Action recognition has gained great attention in automatic video analysis, greatly reducing the cost of human resources for smart surveillance. Most methods, however, focus on the detection of only one action event for a single person in a well-segme...
DE-CNN: An Improved Identity Recognition Algorithm Based on the Emotional Electroencephalography.
Computational and mathematical methods in medicine
Aug 8, 2020
In the past few decades, identification recognition based on electroencephalography (EEG) has received extensive attention to resolve the security problems of conventional biometric systems. In the present study, a novel EEG-based identification syst...
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