A comprehensive survey and deep learning-based approach for human recognition using ear biometric
Human recognition systems based on biometrics are much in demand due to increasing
concerns of security and privacy. The human ear is unique and useful for recognition. It …
concerns of security and privacy. The human ear is unique and useful for recognition. It …
Palmprint Recognition: Extensive exploration of databases, methodologies, comparative assessment, and future directions
N Amrouni, A Benzaoui, A Zeroual - Applied Sciences, 2023 - mdpi.com
This paper presents a comprehensive survey examining the prevailing feature extraction
methodologies employed within biometric palmprint recognition models. It encompasses a …
methodologies employed within biometric palmprint recognition models. It encompasses a …
Towards open-set touchless palmprint recognition via weight-based meta metric learning
Touchless biometrics has become significant in the wake of novel coronavirus 2019 (COVID-
19). Due to the convenience, user-friendly, and high-accuracy, touchless palmprint …
19). Due to the convenience, user-friendly, and high-accuracy, touchless palmprint …
Consensus guided incomplete multi-view spectral clustering
Incomplete multi-view clustering which aims to solve the difficult clustering challenge on
incomplete multi-view data collected from diverse domains with missing views has drawn …
incomplete multi-view data collected from diverse domains with missing views has drawn …
A multi-spectral palmprint fuzzy commitment based on deep hashing code with discriminative bit selection
Direct usage of original biometric features/templates definitely leads to serious privacy
leakage. In biometric cryptosystems, a biometric key is generated and then strictly protected …
leakage. In biometric cryptosystems, a biometric key is generated and then strictly protected …
Few-shot learning for palmprint recognition via meta-siamese network
Palmprint is one of the discriminant biometric modalities of humans. Recently, deep learning-
based palmprint recognition algorithms have improved the accuracy and robustness of …
based palmprint recognition algorithms have improved the accuracy and robustness of …
A performance evaluation of classic convolutional neural networks for 2D and 3D palmprint and palm vein recognition
Palmprint recognition and palm vein recognition are two emerging biometrics technologies.
In the past two decades, many traditional methods have been proposed for palmprint …
In the past two decades, many traditional methods have been proposed for palmprint …
EEPNet: An efficient and effective convolutional neural network for palmprint recognition
Palmprint recognition is an important biometrics technology. In recent years, a lot of
palmprint recognition methods based on convolution neural networks (CNNs) have been …
palmprint recognition methods based on convolution neural networks (CNNs) have been …
Learning salient and discriminative descriptor for palmprint feature extraction and identification
Palmprint recognition has been widely applied in security and, particularly, authentication. In
the past decade, various palmprint recognition methods have been proposed and achieved …
the past decade, various palmprint recognition methods have been proposed and achieved …
Joint discriminative feature learning for multimodal finger recognition
Recently, finger-based multimodal biometrics, due to its high security and stability, has
received considerable attention compared with unimodal biometrics. However, existing …
received considerable attention compared with unimodal biometrics. However, existing …