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The Bonferroni mean-type pre-aggregation operators construction and generalization: Application to edge detection
In recent years, immense interest in the exploration of the generalized version of the
monotonicity condition has been significantly accomplished by the researchers. 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 …
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 …
consistency degree of cliques. Quantifying the conflict degree is instructive for weakening or …
Finger-knuckle-print recognition using deep convolutional neural network
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 …
personal identification is based on behavioral or biological characteristics. Recently, the trait …
New results on pre-aggregation functions: Introducing (light) pre-t-norms
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 …
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) …
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
Human recognition in a multi‐biometric system is performed by combining biometric clues
from different sources (multiple sensors, units, algorithms, samples and modalities) at …
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
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 …
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
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 …
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 …
based on a certain random probability. In the process of iteration, there is a lack of …