Face authentication using a hybrid approach

Face authentication using a hybrid approach

This paper presents a hybrid approach to face-feature extraction based on the trace transform and the novel kernel partial-least-squares discriminant analysis (KPA). The hybrid approach, called trace kernel partial-least-squares discriminant analysis (TKPA) first uses a set of fifteen trace functionals to derive robust and discriminative facial features and then applies the KPA method to reduce...

Determining Effective Features for Face Detection Using a Hybrid Feature Approach

Detecting faces in cluttered backgrounds and real world has remained as an unsolved problem yet. In this paper, by using composition of some kind of independent features and one of the most common appearance based approaches, and multilayered perceptron (MLP) neural networks, not only some questions have been answered, but also the designed system achieved better performance rather than the pre...

Hybrid Biometric Person Authentication Using Face and Voice Features

In this paper, a hybrid person authentication prototype integrating multiple biometric devices is presented. This prototype is based on several levels of abstractions: data representations, vectors and classifiers. Frontal face and text -dependent voice biometrics are chosen to authenticate a user. For each of the biometric feature, an extractor, a classifier and a simple negotiation scheme hav...

Improving Face Authentication Using

A Hybrid Approach of Face Recognition Using Bezier Curve

This paper proposed an efficient, intelligent and less complex method of face recognition. A hybrid approach of face recognition is proposed here using the neural networks and Bezier curves. Detection of structural facial features such as eyes, eyebrows, nose, lips and mouth boundaries is an essential process for various image processing task such as face recognition. In this paper we introduce...