An intelligent deep learning LSTM-DM tool for finger vein recognition model USING DSAE classifier-Reference-Cited by-同舟云学术

An intelligent deep learning LSTM-DM tool for finger vein recognition model USING DSAE classifier

Published:2022-11-27 Issue: Volume: Page:
ISSN:0975-6809
Container-title:International Journal of System Assurance Engineering and Management
language:en
Short-container-title:Int J Syst Assur Eng Manag

Author:

Madhusudhan M. V.^ORCID,Udayarani V.,Hegde Chetana

Publisher

Springer Science and Business Media LLC

Subject

Strategy and Management,Safety, Risk, Reliability and Quality

Link

https://link.springer.com/content/pdf/10.1007/s13198-022-01807-x.pdf

Reference31 articles.

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2. Kapoor K, Rani S, Kumar M, Chopra V, Brar GS (2021) Hybrid local phase quantization and grey wolf optimization based SVM for finger vein recognition. Multim Tools Appl 80(2). Springer

3. Kono M (2000) A new method for the identification of individuals by using vein pattern matching of a finger. In: Proceedings of the 5th symposium on pattern measurement, Yamaguchi, Japan, pp 9–12.

4. Kumar VV, Muthukumaran V, Ashwini N, Beschi IS, Gunasekaran K, Niveditha VR (2022) An efficient signcryption scheme using near-ring hybrid approach for an IoT-based system. Int J e-Collaboration (IJeC) 18(1):1–31

5. Kuzu RS, Piciucco E, Maiorana E, Campisi P (2020) On-the-fly finger- vein-based biometric recognition using deep neural networks. IEEE Trans Inf Forensics Secur 15:2641–2654

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