Apr 20, 2018 � This paper presents a new approach, where the deep learning is applied to create a multi-modal biometric system based on images of FKP modalities.

This paper presents a new approach, where the deep learning is applied to create a multi-modal biometric system based on images of FKP modalities which�...

This paper presents a new approach, where the deep learning is applied to create a multi-modal biometric system based on images of FKP modalities which�...

We provide an FKP framework that uses the VGG-19 deep learning model to extract deep features from FKP images in this paper.

Deep learning for finger-knuckle-print identification system based on PCANet and SVM classifier. Rachid Chlaoua, A. Meraoumia, K. Aiadi, Maarouf Korichi. 2019�...

Deep learning for finger-knuckle-print identification system based on PCANet and SVM classifier � Computer Science. Evolving Systems � 2018.

Deep learning for finger-knuckle-print identification system based on PCANet and SVM classifier ; CiteScore. 7.80 ; 自引率. 6.20% ; 发文量. 67.

The model integrates eight diverse machine learning models: Logistic Regression (LR), Decision Tree (DT), Support Vector Machine (SVM), Naive Bayes (NB), K-�...

In this paper, a simple end-to-end method based on Convolutional Neural Network (CNN) is proposed for FKP recognition.

Apr 29, 2022 � In this paper, we propose a multimodal hand biometric system based on Finger. Knuckle Print (FKP) and Palmprint. In particular, the PCANet deep�...