An evaluation of denoising techniques and classification of biometric images based on deep learning-Reference-Cited by-同舟云学术

An evaluation of denoising techniques and classification of biometric images based on deep learning

Published:2022-07-15 Issue:6 Volume:82 Page:8287-8302
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Arora Shefali^ORCID,Mittal Ruchi,Kukreja Harshita,Bhatia M. P. S.

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/s11042-021-11573-w.pdf

Reference40 articles.

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3. Alonso-Fernandez F, Fierrez J, Ortega-Garcia J (2011) Quality measures in biometric systems. IEEE Security & Privacy 10(6), 52–62

4. Alqahtani A (2014) Valuation of the impact of noise on iris recognition biometric authentication systems. In: Proceedings of the International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV)

5. Angle S, Bhagtani R, Chheda H (2005) Biometrics: A further echelon of security. In: UAE International Conference on Biological and Medical Physics, Citeseer

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