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A face recognition system using template matching and neural network classifier
(Kolej Universiti Kejuruteraan Utara Malaysia, 2005-05-14)
We develop a technique to identify an unknown person in a face image by using
template matching and neural network classifier. The technique is separated into three main steps namely; preprocessing, feature extraction and ...
Face recognition using neural network
(Universiti Malaysia Perlis, 2008-03)
This dissertation provides a study of camera-based face recognition research. There are two underlying motivations to conduct this project: the first is to study and analyze type of feature extraction method, and the second ...
Recognition of human front face in Grayscale Images
(Kolej Universiti Kejuruteraan Utara Malaysia, 2005-05-18)
We propose a new technique to recognize the unknown person in grayscale face images for which the position, scale and image-plane rotation of the face are unknown. The proposed system detects the iris of both eyes and ...
Human faces: a review from detection to recognition
(Kolej Universiti Kejuruteraan Utara Malaysia, 2005-05-14)
In this paper, we review researches on human faces from aspect of face recognition
and face detection. Face emotion recognition are also reviewed. The study of human faces has much assistance on computer vision and machine ...
Personalized face emotion classification using optimized data of three features
(Institute of Electrical and Electronics Engineering (IEEE), 2007)
In this paper, lip and eye features are applied to classify the human emotion through a set of irregular and regular ellipse fitting equations using Genetic algorithm (GA). South East Asian face is considered in this study. ...
A new approach for Face Recognition based on Iris
(Kolej Universiti Kejuruteraan Utara Malaysia, 2004)
I propose a system to identify the unknown person in a face image for which the position, scale and image-plane rotation of the face are unknown. The proposed system detects the iris of both eyes and normalizes the position, ...