We are comparing the performance of five algorithms of the face recognition i e HGPP PCA LDA ICA and SVM The basis of the comparison is the rate of accuracy of face recognition These algorithms are employed on the ATT database and IFD database We find that HGPP has the highest rate of accuracy of recognition when it is applied on the ATT database whereas LDA outperforms the all other algorithms when it is applied to IFD databas
Abstract. Despite of the development of face recognition technology; face recognition rate is not hi...
Feature extraction is important in face recognition. This paper presents a comparative study of re...
Abstract—The literature on independent component analysis (ICA)-based face recognition generally eva...
Abstract: In this paper performance of five face recognition algorithms i.e. HGPP, PCA, LDA, ICA an...
Face recognition is a technique to automatically identify or verify individuals. It receives great a...
Face recognition has been considered as a popular technique to recognise identity of a person. Many ...
This paper is about the different algorithms which are used for face recognition. There are so many ...
Face recognition is used in wide range of application. In recent years, face recognition has become ...
Face recognition played an important part in daily lifestyle, security systems (Criminal Identificat...
Recognizing Faces with PCA and ICA This paper compares principal component analysis (PCA) and indepe...
2006-2007 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe
Development of face recognition is rapidly increasing, also followed by a number of methods used in ...
Face recognition has received a lot of attention in biometrics and computer vision. A lot of face re...
Face recognition has become one of the important factors in recent years for security by fraud detec...
Abstract: In this paper two Face Recognition techniques, Principal Component Analysis (PCA) and Line...
Abstract. Despite of the development of face recognition technology; face recognition rate is not hi...
Feature extraction is important in face recognition. This paper presents a comparative study of re...
Abstract—The literature on independent component analysis (ICA)-based face recognition generally eva...
Abstract: In this paper performance of five face recognition algorithms i.e. HGPP, PCA, LDA, ICA an...
Face recognition is a technique to automatically identify or verify individuals. It receives great a...
Face recognition has been considered as a popular technique to recognise identity of a person. Many ...
This paper is about the different algorithms which are used for face recognition. There are so many ...
Face recognition is used in wide range of application. In recent years, face recognition has become ...
Face recognition played an important part in daily lifestyle, security systems (Criminal Identificat...
Recognizing Faces with PCA and ICA This paper compares principal component analysis (PCA) and indepe...
2006-2007 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe
Development of face recognition is rapidly increasing, also followed by a number of methods used in ...
Face recognition has received a lot of attention in biometrics and computer vision. A lot of face re...
Face recognition has become one of the important factors in recent years for security by fraud detec...
Abstract: In this paper two Face Recognition techniques, Principal Component Analysis (PCA) and Line...
Abstract. Despite of the development of face recognition technology; face recognition rate is not hi...
Feature extraction is important in face recognition. This paper presents a comparative study of re...
Abstract—The literature on independent component analysis (ICA)-based face recognition generally eva...