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Various Recognition approach in human faces
(Universiti Teknologi Petronas (UTP), 2005-12-01)
In this paper, we review researches on human faces from aspect offace recognition and face detection. Face emotion recognition are also reviewed. The study of human faces has much assistance on computer vision and machine ...
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 ...
Automatic detection of face and facial features
(World Scientific and Engineering Academy and Society (WSEAS), 2008-02-20)
An algorithm to automatically detect facial features from color images has been developed. First,
face region is located using skin-color information. Then, the iris candidates are extracted from the intensity
valleys ...
Automated face localization and facial features detection using geometric information
(Malaysia-Japan University Center (MJUC), 2007-11-12)
This paper presents algorithms to detect irises of both eyes and mouth from color and intensity images and extracts intensity valleys from the race region. Next, the algorithm extracts iris candidates from the valleys and ...
Real-time detection of face and iris
(World Scientific and Engineering Academy and Society (WSEAS), 2009-06)
In this study, a computational algorithm has been developed to automatically detect human face and irises from color images captured by real-time camera. Haar cascade-based algorithm has been applied for simple and fast ...
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 ...
Fuzzy clustering for genetic algorithm based optimized ellipse data in classifying face emotion
(Institute of Electrical and Electronics Engineering (IEEE), 2007-10)
In this paper, lip and eye features are applied to classify the human emotion using a set of irregular and regular ellipse fitting equations using genetic algorithm (GA). A South East Asian face is considered in this study. ...
The effects of compiler optimizations in face recognition system
(Institute of Electrical and Electronics Engineering (IEEE), 2008)
One of the few challenges facing face recognition systems is real time processing. In order for a face recognition system to be viable for real world implementations, it needs to be fast enough to track and identify facial ...