Add to ORKGThis paper investigates the benefits of combining neural networks and fuzzy logic into neuro-fuzzy system, especially for application in face recognition task. The former is the result of combining fuzzy logic and mixture of experts, ME, by multi-layer perceptron networks. In the description of ME, some proposals to improve the performance of model are also described. An analysis comparing the model enhancements proposed in this paper with the corresponding original ME model in face recognition is also presented. Experimental result confirms the importance of combining these two technologies (neural networks and fuzzy logic) in face recognition. Key words: Fuzzy logic, Neuro-fuzzy system, Mixture of Experts
In this paper a proficient posture invariant face recognition framework utilizing PCA and AI has bee...
Both fuzzy logic, as the basis of many inference systems, and Neural Networks, as a powerful computa...
The aim of the study is to increase the effectiveness of automated face recognition to authenticate ...
Face recognition is the process of identifying one or more people in images or videos. It is an impo...
Human face recognition (HFR) is the method of recognizing people in images or videos. There are diff...
This paper proposed a new method for face recognition with principal component analysis in the featu...
[[abstract]]Fast feature matching process and high recognition rates are two important issues in fac...
The relevance of integration of the merits of fuzzy set theory and neural network models for designi...
Abstract- Both fuzzy logic, as the basis of many inference systems, and Neural Networks, as a powerf...
Integration of Artificial Neural Networks (ANN) and Fuzzy Inference Systems (FIS) have attracted the...
This document describes the architecture of neuro fuzzy systems. First part of the document provides...
This paper presents a face detection technique based on two techniques: wavelet Gabor filter for ext...
This book describes hybrid intelligent systems using type-2 fuzzy logic and modular neural networks ...
In this paper a method to face recognition in digital images based on statistical features and fuzzy...
. I present various systems for the recognition of human faces. They consist of three steps: feature...
In this paper a proficient posture invariant face recognition framework utilizing PCA and AI has bee...
Both fuzzy logic, as the basis of many inference systems, and Neural Networks, as a powerful computa...
The aim of the study is to increase the effectiveness of automated face recognition to authenticate ...
Face recognition is the process of identifying one or more people in images or videos. It is an impo...
Human face recognition (HFR) is the method of recognizing people in images or videos. There are diff...
This paper proposed a new method for face recognition with principal component analysis in the featu...
[[abstract]]Fast feature matching process and high recognition rates are two important issues in fac...
The relevance of integration of the merits of fuzzy set theory and neural network models for designi...
Abstract- Both fuzzy logic, as the basis of many inference systems, and Neural Networks, as a powerf...
Integration of Artificial Neural Networks (ANN) and Fuzzy Inference Systems (FIS) have attracted the...
This document describes the architecture of neuro fuzzy systems. First part of the document provides...
This paper presents a face detection technique based on two techniques: wavelet Gabor filter for ext...
This book describes hybrid intelligent systems using type-2 fuzzy logic and modular neural networks ...
In this paper a method to face recognition in digital images based on statistical features and fuzzy...
. I present various systems for the recognition of human faces. They consist of three steps: feature...
In this paper a proficient posture invariant face recognition framework utilizing PCA and AI has bee...
Both fuzzy logic, as the basis of many inference systems, and Neural Networks, as a powerful computa...
The aim of the study is to increase the effectiveness of automated face recognition to authenticate ...