Browsing The Library by Subject "Face recognition"
Now showing items 1-6 of 6
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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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ...