Secure deep multimodal biometric authentication using online signature and face features fusion
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-16683-1.pdf
Reference56 articles.
1. Yaman D, Eyiokur FI, Ekenel HK (2022) Multimodal soft biometrics: combining ear and face biometrics for age and gender classification. Multimed Tools Appl 81:22695–22713. https://doi.org/10.1007/s11042-021-10630-8
2. Kamlaskar C, Abhyankar A (2021) Iris-Fingerprint multimodal biometric system based on optimal feature level fusion model[J]. AIMS Electron Electr Eng 5(4):229–250. https://doi.org/10.3934/electreng.2021013
3. El-Bendary MAM, Kasban H, Haggag A et al (2020) Investigating of nodes and personal authentications utilizing multimodal biometrics for medical application of WBANs security. Multimed Tools Appl 79:24507–24535. https://doi.org/10.1007/s11042-020-08926-2
4. Jadhav SB, Deshmukh NK, Humbe VT (2022) HDL-PI: hybrid DeepLearning technique for person identification using multimodal finger print, iris and face biometric features. Multimed Tools Appl. https://doi.org/10.1007/s11042-022-14241-9
5. Tiong LCO, Kim ST, Ro YM (2019) Implementation of multimodal biometric recognition via multi-feature deep learning networks and feature fusion. Multimed Tools Appl 78:22743–22772. https://doi.org/10.1007/s11042-019-7618-0
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