FFT-based deep feature learning method for EEG classification
M Li, W Chen - Biomedical Signal Processing and Control, 2021 - Elsevier
This study introduces a new method for electroencephalogram (EEG) signal classification
based on deep learning model, by which relevant features are automatically learned in a …
based on deep learning model, by which relevant features are automatically learned in a …
Multimodal biometric recognition systems using deep learning based on the finger vein and finger knuckle print fusion
Recognition systems using multimodal biometrics attracts attention because they improve
recognition efficiency and high‐security level compared to the unimodal biometrics system …
recognition efficiency and high‐security level compared to the unimodal biometrics system …
Deepknuckle: Deep learning for finger knuckle print recognition
Biometric technology has received a lot of attention in recent years. One of the most
prevalent biometric traits is the finger-knuckle print (FKP). Because the dorsal region of the …
prevalent biometric traits is the finger-knuckle print (FKP). Because the dorsal region of the …
Local discriminant coding based convolutional feature representation for multimodal finger recognition
Compared with unimodal biometrics systems, multimodal systems can effectively improve
the recognition performance in accuracy and security. However, exploring a robust feature …
the recognition performance in accuracy and security. However, exploring a robust feature …
Deep learning-driven palmprint and finger knuckle pattern-based multimodal Person recognition system
Biometric recognition systems are widely being used in several applications due to its
distinctiveness and reliability. In recent years, hand-based person recognition has received …
distinctiveness and reliability. In recent years, hand-based person recognition has received …
[HTML][HTML] Person identification from fingernails and knuckles images using deep learning features and the Bray-Curtis similarity measure
In this paper, an approach that makes use of knuckle creases and fingernails for person
identification is presented. It introduces a framework for automatic person identification that …
identification is presented. It introduces a framework for automatic person identification that …
Joint multiview feature learning for hand-print recognition
In this article, we propose a joint multiview feature learning (JMvFL) method for hand-print
recognition including both finger-knuckle-print (FKP) and palmprint recognition. Unlike most …
recognition including both finger-knuckle-print (FKP) and palmprint recognition. Unlike most …
Feature-level fusion of major and minor dorsal finger knuckle patterns for person authentication
The identification of individuals by their finger dorsal patterns has become a very active area
of research in recent years. In this paper, we present a multimodal biometric personal …
of research in recent years. In this paper, we present a multimodal biometric personal …
Deep rule-based classifier for finger knuckle pattern recognition system
In this paper, we proposed a novel finger knuckle pattern (FKP) based personal
authentication system using multilayer deep rule based (DRB) classifier. The presented …
authentication system using multilayer deep rule based (DRB) classifier. The presented …
Deep convolutional neural network for finger-knuckle-print recognition
Finger-Knuckle-Print (FKP) is an accurate and reliable biometric in compare to other hand-
based biometrics like fingerprint because of the finger's dorsal region is not exposed to …
based biometrics like fingerprint because of the finger's dorsal region is not exposed to …