AIMC Topic: Biometric Identification

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Can Ensemble Deep Learning Identify People by Their Gait Using Data Collected from Multi-Modal Sensors in Their Insole?

Sensors (Basel, Switzerland) Jul 18, 2020
Gait is a characteristic that has been utilized for identifying individuals. As human gait information is now able to be captured by several types of devices, many studies have proposed biometric identification methods using gait information. As rese...
Shoes Wearable Electronic Devices Biometric Identification Biometry Gait Analysis Humans Deep Learning
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Feature fusion via Deep Random Forest for facial age estimation.

Neural networks : the official journal of the International Neural Network Society Jul 14, 2020
In the last few years, human age estimation from face images attracted the attention of many researchers in computer vision and machine learning fields. This is due to its numerous applications. In this paper, we propose a new architecture for age es...
Machine Learning Databases, Factual Humans Biometric Identification Photic Stimulation Aging Deep Learning
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Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review.

Computers in biology and medicine Jun 7, 2020
BACKGROUND: The electrocardiogram (ECG) is one of the most commonly used diagnostic tools in medicine and healthcare. Deep learning methods have achieved promising results on predictive healthcare tasks using ECG signals.
Humans Electrocardiography Biometric Identification Neural Networks, Computer Deep Learning Sleep Stages
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An end-to-end exemplar association for unsupervised person Re-identification.

Neural networks : the official journal of the International Neural Network Society May 23, 2020
Tracklet association methods learn the cross camera retrieval ability though associating underlying cross camera positive samples, which have proven to be successful in unsupervised person re-identification task. However, most of them use poor-effici...
Biometric Identification Unsupervised Machine Learning
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Cross-modality paired-images generation and augmentation for RGB-infrared person re-identification.

Neural networks : the official journal of the International Neural Network Society May 19, 2020
RGB-Infrared (IR) person re-identification is very challenging due to the large cross-modality variations between RGB and IR images. Considering no correspondence labels between every pair of RGB and IR images, most methods try to alleviate the varia...
Biometric Identification Machine Learning Infrared Rays
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End-to-End Deep Learning Fusion of Fingerprint and Electrocardiogram Signals for Presentation Attack Detection.

Sensors (Basel, Switzerland) Apr 7, 2020
Although fingerprint-based systems are the commonly used biometric systems, they suffer from a critical vulnerability to a presentation attack (PA). Therefore, several approaches based on a fingerprint biometrics have been developed to increase the r...
Biometric Identification Electrocardiography Humans Neural Networks, Computer Deep Learning
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Novel deep neural network based pattern field classification architectures.

Neural networks : the official journal of the International Neural Network Society Mar 14, 2020
Field classification is a new extension of traditional classification frameworks that attempts to utilize consistent information from a group of samples (termed fields). By forgoing the independent identically distributed (i.i.d.) assumption, field c...
Pattern Recognition, Automated Biometric Identification Handwriting Deep Learning Bayes Theorem Algorithms Neural Networks, Computer Machine Learning Humans
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Biometric Identity Based on Intra-Body Communication Channel Characteristics and Machine Learning.

Sensors (Basel, Switzerland) Mar 5, 2020
In this paper, we propose and validate using the Intra-body communications channel as a biometric identity. Combining experimental measurements collected from five subjects and two multi-layer tissue mimicking materials' phantoms, different machine l...
Biometric Identification Humans Algorithms Manikins Wireless Technology Machine Learning Reproducibility of Results
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Person Re-Identification with Feature Pyramid Optimization and Gradual Background Suppression.

Neural networks : the official journal of the International Neural Network Society Jan 25, 2020
Compared with face recognition, the performance of person re-identification (re-ID) is still far from practical application. Among various interferences, there are two factors seriously limiting the performance improvement, i.e., the feature discrimi...
Machine Learning Image Processing, Computer-Assisted Biometric Identification
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Person identification using fusion of iris and periocular deep features.

Neural networks : the official journal of the International Neural Network Society Nov 23, 2019
A novel method for person identification based on the fusion of iris and periocular biometrics has been proposed in this paper. The challenges for image acquisition for Near-Infrared or Visual Wavelength lights under constrained and unconstrained env...
Deep Learning Biometric Identification Algorithms Image Processing, Computer-Assisted Humans Databases, Factual Face Iris
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