The Bonferroni mean-type pre-aggregation operators construction and generalization: Application to edge detection

SR Hait, R Mesiar, P Gupta, D Guha, D Chakraborty - Information fusion, 2022 - Elsevier
In recent years, immense interest in the exploration of the generalized version of the
monotonicity condition has been significantly accomplished by the researchers. The …

Quality based adaptive score fusion approach for multimodal biometric system

K Gupta, GS Walia, K Sharma - Applied Intelligence, 2020 - Springer
Abstract Multimodal Biometric Systems are extensively employed over unimodal
counterparts for user authentication in the digital world. However, the application of …

The selection of feasible strategies based on consistency measurement of cliques

F Xu, M Cai, H Song, J Dai - Information Sciences, 2022 - Elsevier
Few studies of conflict analysis have analyzed conflict situations from the perspective of the
consistency degree of cliques. Quantifying the conflict degree is instructive for weakening or …

Finger-knuckle-print recognition using deep convolutional neural network

S Trabelsi, D Samai, A Meraoumia… - … Control Systems and …, 2020 - ieeexplore.ieee.org
Biometric technology has become essential in our daily life. In such a biometric system,
personal identification is based on behavioral or biological characteristics. Recently, the trait …

New results on pre-aggregation functions: Introducing (light) pre-t-norms

GP Dimuro, H Bustince, J Fernandez… - 2017 Joint 17th …, 2017 - ieeexplore.ieee.org
The aim of this paper is to enlarge the knowledge about the promising concept of a pre-
aggregation function introduced by Lucca et al., which is a kind of “aggregation” concept that …

Multi-modal biometric system on various levels of fusion using LPQ features

HD Supreetha Gowda… - Journal of Information …, 2018 - Taylor & Francis
In the proposed multimodal biometric verification system, the system is implemented on all
levels of fusion strategies (i) fusion prior to matching (sensor level and feature level) and (ii) …

Score‐level fusion using generalized extreme value distribution and DSmT, for multi‐biometric systems

R Sharma, S Das, P Joshi - IET Biometrics, 2018 - Wiley Online Library
Human recognition in a multi‐biometric system is performed by combining biometric clues
from different sources (multiple sensors, units, algorithms, samples and modalities) at …

An effective biometric identification system using enhanced palm texture features: Adjustable local binary pattern: a new scheme for images texture analysis

M Saigaa, S Chitroub, A Meraoumia - Evolving Systems, 2022 - Springer
Pattern recognition technologies aim to develop new techniques for transforming original
data into other representations that honestly illustrate their content and can then be used to …

On the definition of the concept of pre-t-conorms

GP Dimuro, H Bustince, J Fernandez… - … on Fuzzy Systems …, 2017 - ieeexplore.ieee.org
The aim of this paper is to introduce the concept of pre-t-conorms, based on the notion of pre-
aggregation function, which was introduced by Lucca et al. as an “aggregation” concept that …

Neutrosophic simulated annealing algorithm and its application in operation optimization in dangerous goods warehouse

F Zhang, Z Chen, J Ye, B Han - Journal of Mathematics, 2022 - Wiley Online Library
In the classical simulated annealing algorithm (SAA), the iteration feasible solution is mainly
based on a certain random probability. In the process of iteration, there is a lack of …