AIMC Topic: Biometric Identification

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Bidirectional Interaction Network for Person Re-Identification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Person re-identification (ReID) task aims to retrieve the same person across multiple spatially disjoint camera views. Due to huge image changes caused by various factors such as posture variation and illumination transformation, images of different ...

Multi-Domain Adversarial Feature Generalization for Person Re-Identification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
With the assistance of sophisticated training methods applied to single labeled datasets, the performance of fully-supervised person re-identification (Person Re-ID) has been improved significantly in recent years. However, these models trained on a ...

Joint Person Objectness and Repulsion for Person Search.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Person search targets to search the probe person from the unconstrainted scene images, which can be treated as the combination of person detection and person matching. However, the existing methods based on the Detection-Matching framework ignore the...

Identifications and classifications of human locomotion using Rayleigh-enhanced distributed fiber acoustic sensors with deep neural networks.

Scientific reports
This paper reports on the use of machine learning to delineate data harnessed by fiber-optic distributed acoustic sensors (DAS) using fiber with enhanced Rayleigh backscattering to recognize vibration events induced by human locomotion. The DAS used ...

Stacking-Based Deep Neural Network: Deep Analytic Network for Pattern Classification.

IEEE transactions on cybernetics
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)
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)
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
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)
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)
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 ...