Abstract. Despite of the development of face recognition technology; face recognition rate is not high, which brings some inconvenience in our application. This paper carry on a simple introduction of PCA+AdaBoostalgorithm and PCA+LDA algorithm and makes a simple comparison at the end. PCA+AdaBoost algorithm and PCA+LDA algorithm are both relevant to the feature space, so it can be better to compare
Feature extraction is important in face recognition. This paper presents a comparative study of re...
Face recognition is emerging as an active research area with numerous commercial and law enforcement...
This thesis deals with computer face recognition. Methods of Components Analysis (PCA), Linear Discr...
Abstract—In this paper we present a comparative study of two well-known face recognition algorithms....
In this paper we present a comparative study of two well-known face recognition algorithms. The cont...
Face recognition has been considered as a popular technique to recognise identity of a person. Many ...
In this paper we present a comparative study of two well-known face recognition algorithms. The cont...
Face recognition is used in wide range of application. In recent years, face recognition has become ...
Abstract: In this paper two Face Recognition techniques, Principal Component Analysis (PCA) and Line...
Face recognition played an important part in daily lifestyle, security systems (Criminal Identificat...
Face recognition has received a lot of attention in biometrics and computer vision. A lot of face re...
This paper presents study of face recognition system which is based on Principal Component Analysis ...
Feature extraction is important in face recognition. This paper presents a comparative study of fe...
This report presents the complete process of face recognition from theory to implementation and test...
Abstract: Face recognition has become a major field of interest these days. Face recognition algorit...
Feature extraction is important in face recognition. This paper presents a comparative study of re...
Face recognition is emerging as an active research area with numerous commercial and law enforcement...
This thesis deals with computer face recognition. Methods of Components Analysis (PCA), Linear Discr...
Abstract—In this paper we present a comparative study of two well-known face recognition algorithms....
In this paper we present a comparative study of two well-known face recognition algorithms. The cont...
Face recognition has been considered as a popular technique to recognise identity of a person. Many ...
In this paper we present a comparative study of two well-known face recognition algorithms. The cont...
Face recognition is used in wide range of application. In recent years, face recognition has become ...
Abstract: In this paper two Face Recognition techniques, Principal Component Analysis (PCA) and Line...
Face recognition played an important part in daily lifestyle, security systems (Criminal Identificat...
Face recognition has received a lot of attention in biometrics and computer vision. A lot of face re...
This paper presents study of face recognition system which is based on Principal Component Analysis ...
Feature extraction is important in face recognition. This paper presents a comparative study of fe...
This report presents the complete process of face recognition from theory to implementation and test...
Abstract: Face recognition has become a major field of interest these days. Face recognition algorit...
Feature extraction is important in face recognition. This paper presents a comparative study of re...
Face recognition is emerging as an active research area with numerous commercial and law enforcement...
This thesis deals with computer face recognition. Methods of Components Analysis (PCA), Linear Discr...