Two image quality assessment methods based on evidential modeling and uncertainty: application to automatic iris identification systems-Reference-Cited by-同舟云学术

Two image quality assessment methods based on evidential modeling and uncertainty: application to automatic iris identification systems

Published:2023-01-04 Issue:3 Volume:45 Page:254-268
ISSN:1206-212X
Container-title:International Journal of Computers and Applications
language:en
Short-container-title:International Journal of Computers and Applications

Author:

Kchaou Amina¹²,Bouhamed Sonda Ammar¹²

Affiliation:

1. National School of Electronics and Telecommunications of Sfax, University of Sfax, Sfax, Tunisia

2. Digital Research Center of Sfax (CRNS), Laboratory of Signals, systeMs, aRtificial Intelligence, neTworkS(SM@RTS), University of Sfax, Sfax, Tunisia

Publisher

Informa UK Limited

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications,Hardware and Architecture,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/1206212X.2022.2162671

Reference35 articles.

1. IRIS BIOMETRICS: HUMAN IDENTIFICATION USING FORCE FIELD

2. Robust user authentication model for securing electronic healthcare system using fingerprint biometrics

3. Improving cloud data security through hybrid verification technique based on biometrics and encryption system

4. Upper and Lower Probabilities Induced by a Multivalued Mapping

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