AbstractThis paper develops a new Face Recognition System which combines R-KDA for selecting optimal discriminant features with non-linear SVM for Recognition. Experiment results have been conducted showing the comparison of enhanced efficiency of our proposed system over R-KDA with k-nn as the similarity distance measure
The identification of a person based on biometric is accurate and robust compared to traditional met...
Biometric is the science and technology of measuring and analyzing biological data of human body, ex...
Masters Degree. University of KwaZulu-Natal, Durban.Abstract available in PDF.Quality of scanned PDF...
AbstractThis paper develops a new Face Recognition System which combines R-KDA for selecting optimal...
With increasing security threats, Biometric systems have importance in different fields. This appear...
This paper introduces a new solution of recognizing human faces in 2-dimensional digital images usin...
Human face recognition has received a wide range of attention since 1990s. Recent approaches focus o...
Applications using face biometric are ubiquitous in various domains. We propose an efficient method ...
Nonparametric Discriminant Analysis (NDA) possesses inherent advantages over Linear Discriminant Ana...
As one of the excellent learning and classification performance, SVM and ISVM has become a researc...
The paper is concerned with the recognition of faces at application of different methods of global f...
AbstractThe face is a physiological trait used to identify a person effectively for various biometri...
Facial recognition is a method to identify an individual from his image. It has attracted the intent...
Increased interest in biometric security systems makes face recognition a very effective research ar...
The face is a physiological trait used to identify a person effectively for various biometric applic...
The identification of a person based on biometric is accurate and robust compared to traditional met...
Biometric is the science and technology of measuring and analyzing biological data of human body, ex...
Masters Degree. University of KwaZulu-Natal, Durban.Abstract available in PDF.Quality of scanned PDF...
AbstractThis paper develops a new Face Recognition System which combines R-KDA for selecting optimal...
With increasing security threats, Biometric systems have importance in different fields. This appear...
This paper introduces a new solution of recognizing human faces in 2-dimensional digital images usin...
Human face recognition has received a wide range of attention since 1990s. Recent approaches focus o...
Applications using face biometric are ubiquitous in various domains. We propose an efficient method ...
Nonparametric Discriminant Analysis (NDA) possesses inherent advantages over Linear Discriminant Ana...
As one of the excellent learning and classification performance, SVM and ISVM has become a researc...
The paper is concerned with the recognition of faces at application of different methods of global f...
AbstractThe face is a physiological trait used to identify a person effectively for various biometri...
Facial recognition is a method to identify an individual from his image. It has attracted the intent...
Increased interest in biometric security systems makes face recognition a very effective research ar...
The face is a physiological trait used to identify a person effectively for various biometric applic...
The identification of a person based on biometric is accurate and robust compared to traditional met...
Biometric is the science and technology of measuring and analyzing biological data of human body, ex...
Masters Degree. University of KwaZulu-Natal, Durban.Abstract available in PDF.Quality of scanned PDF...