AIMC Topic: Biometric Identification

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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 Neural Networks, Computer Biometric Identification Sleep Stages Deep Learning Electrocardiography
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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...
Unsupervised Machine Learning Biometric Identification
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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...
Electrocardiography Biometric Identification 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...
Bayes Theorem Pattern Recognition, Automated Biometric Identification Handwriting Algorithms Deep Learning Machine Learning Humans Neural Networks, Computer
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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...
Algorithms Reproducibility of Results Humans Machine Learning Wireless Technology Biometric Identification Manikins
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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...
Image Processing, Computer-Assisted Machine Learning 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...
Algorithms Databases, Factual Deep Learning Humans Biometric Identification Face Image Processing, Computer-Assisted Iris
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Learning Sparse and Identity-Preserved Hidden Attributes for Person Re-Identification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Oct 17, 2019
Person re-identification (Re-ID) aims at matching person images captured in non-overlapping camera views. To represent person appearance, low-level visual features are sensitive to environmental changes, while high-level semantic attributes, such as ...
Biometric Identification Image Processing, Computer-Assisted Male Humans Deep Learning Female
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Biometric identification of listener identity from frequency following responses to speech.

Journal of neural engineering Jul 23, 2019
OBJECTIVE: We investigate the biometric specificity of the frequency following response (FFR), an EEG marker of early auditory processing that reflects phase-locked activity from neural ensembles in the auditory cortex and subcortex (Chandrasekaran a...
Speech Perception Female Auditory Perception Electroencephalography Adult Male Machine Learning Humans Biometric Identification Speech Language
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