SIFT-based Approach for Dorsal Hand Veins Images Recognition-Reference-Cited by-同舟云学术

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SIFT-based Approach for Dorsal Hand Veins Images Recognition

Published:2024-03-27 Issue: Volume: Page:1-4
ISSN:
Container-title:2024 26th International Conference on Digital Signal Processing and its Applications (DSPA)
language:
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Author:

Egorov Dobroslav P.¹^ORCID,Mizinov Pavel V.²^ORCID,Kravchenko Oleg V.³^ORCID,Konnova Natalia S.⁴^ORCID,Osipenko Gavriil V.⁵

Affiliation:

1. Kotel'nikov Institute of Radio Engineering and Electronics of RAS,Moscow,Russian

2. Bauman Moscow State Technical University,Department of information security,Moscow,Russian Federation

3. Computer Science and Control of RAS,Federal Research Center,Moscow,Russian Federation

4. Department of information security, Bauman Moscow State Technical University Moscow, Russian Federation

5. Moscow Aviation Institute,Moscow,Russian Federation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10510016/10510018/10510055.pdf?arnumber=10510055

Reference16 articles.

1. Machine learning approaches and non-linear processing of extracted components in frontal region to predict rTMS treatment response in major depressive disorder

2. Hand-dorsa vein recognition with structure growing guided CNN

3. Convolutional neural networks application in cardiovascular decision support systems

4. Wavelet neural networks functional approximation and application

5. Using a lightweight Siamese neural network for generating a feature vector in a vascular authentication system

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