AN ENHANCED MULTIMODAL BIOMETRIC SYSTEM BASED ON CONVOLUTIONAL NEURAL NETWORK
Multimodal biometric system combines more than one biometric modality into a single method in order, to overcome the limitations of unimodal biometrics system. In multimodal biometrics system, the utilization of different algorithms for feature extraction, fusion at feature level and classification...
Saved in:
Main Authors: | LAWRENCE OMOTOSHO, IBRAHIM OGUNDOYIN, OLAJIDE ADEBAYO, JOSHUA OYENIYI |
---|---|
Format: | Article |
Language: | English |
Published: |
Alma Mater Publishing House "Vasile Alecsandri" University of Bacau
2021-10-01
|
Series: | Journal of Engineering Studies and Research |
Subjects: | |
Online Access: | https://jesr.ub.ro/index.php/1/article/view/276 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Biometric Fusion for Enhanced Authentication in Cloud Computing Environments
by: Chiyo Miyazawa, et al.
Published: (2024-03-01) -
A REAL TIME FACE RECOGNITION SYSTEM USING ALEXNET DEEP CONVOLUTIONAL NETWORK TRANSFER LEARNING MODEL
by: LAWRENCE O. OMOTOSHO, et al.
Published: (2021-10-01) -
Overseas short video recommendations: A multimodal graph convolutional network approach incorporating cultural preferences
by: Xishi Liu, et al.
Published: (2025-03-01) -
Convolutional neural networks for diabetic retinopathy detection
by: Darwin Patiño-Pérez, et al.
Published: (2025-01-01) -
Investigation of multi-input convolutional neural networks for the prediction of particleboard mechanical properties
by: Shuoye Chen, et al.
Published: (2025-02-01)