[[abstract]]Fast feature matching process and high recognition rates are two important issues in face recognition systems. In this paper, a fuzzy neural network based face recognition system which addresses on these two subjects is proposed. This face recognition system uses a fuzzy linear mapping (FLM) for feature extraction and a fuzzy neural network (FNN) for fuzzy feature matching. Experimental results show that the proposed face recognition system has two advantages. First, higher recognition rates are achieved in comparison with statistical feature extraction methods. Second, feature matching process using fuzzy neural network is faster than minimum distance classifier.[[fileno]]2030224030018[[department]]資訊工程學
The paper reports a study of nonlinear nature of face image. A novel feature extraction method using...
2DPCA, which is one of the most important face recognition methods, is relatively sensitive to subst...
Facial recognition systems are computer-based security systems that are able to automatically detect...
Face recognition is the process of identifying one or more people in images or videos. It is an impo...
In this paper a method to face recognition in digital images based on statistical features and fuzzy...
Human face recognition (HFR) is the method of recognizing people in images or videos. There are diff...
人脸识别是模式识别研究领域的重要课题,具有广阔的应用前景。本文提出了基于模糊神 经网络的人脸识别方法。首先用最优鉴别分析方法提取人脸的最优鉴别矢量集,构成特征空间,然后在 特征空间中设计模糊神经网络分...
Face recognition has become one of the most active research areas of pattern recognition since the e...
This paper investigates the benefits of combining neural networks and fuzzy logic into neuro-fuzzy s...
This paper proposes a novel feature selection method for the fuzzy neural networks and presents an a...
Face recognition is a biometric tool for authentication and verification, has great emphasis in both...
[[abstract]]近年來影像處理與機械視覺技術不斷進步,人臉辨識也成為一個重要技術。因此本論文提出一套使用模糊類神經網路(FNN)分類器來進行人臉辨識。本論文是採用局部特徵當作人臉特徵參數。本文...
AbstractRecently, linear discriminant analysis (LDA) was proposed to manifold learning and pattern c...
Abstract. In this paper, we present a real-time face detection method based on hybrid neural network...
The depth information in the face represents personal features in detail. In this study, the importa...
The paper reports a study of nonlinear nature of face image. A novel feature extraction method using...
2DPCA, which is one of the most important face recognition methods, is relatively sensitive to subst...
Facial recognition systems are computer-based security systems that are able to automatically detect...
Face recognition is the process of identifying one or more people in images or videos. It is an impo...
In this paper a method to face recognition in digital images based on statistical features and fuzzy...
Human face recognition (HFR) is the method of recognizing people in images or videos. There are diff...
人脸识别是模式识别研究领域的重要课题,具有广阔的应用前景。本文提出了基于模糊神 经网络的人脸识别方法。首先用最优鉴别分析方法提取人脸的最优鉴别矢量集,构成特征空间,然后在 特征空间中设计模糊神经网络分...
Face recognition has become one of the most active research areas of pattern recognition since the e...
This paper investigates the benefits of combining neural networks and fuzzy logic into neuro-fuzzy s...
This paper proposes a novel feature selection method for the fuzzy neural networks and presents an a...
Face recognition is a biometric tool for authentication and verification, has great emphasis in both...
[[abstract]]近年來影像處理與機械視覺技術不斷進步,人臉辨識也成為一個重要技術。因此本論文提出一套使用模糊類神經網路(FNN)分類器來進行人臉辨識。本論文是採用局部特徵當作人臉特徵參數。本文...
AbstractRecently, linear discriminant analysis (LDA) was proposed to manifold learning and pattern c...
Abstract. In this paper, we present a real-time face detection method based on hybrid neural network...
The depth information in the face represents personal features in detail. In this study, the importa...
The paper reports a study of nonlinear nature of face image. A novel feature extraction method using...
2DPCA, which is one of the most important face recognition methods, is relatively sensitive to subst...
Facial recognition systems are computer-based security systems that are able to automatically detect...