Mohd. Rizon Mohamed Juhari, Prof. Ir. Dr.
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This page provides access to research works by Prof. Ir. Dr. Mohd. Rizon Mohamed Juhari, former Professor of School of Microelectronic Engineering, Universiti Malaysia Perlis.
Recent Submissions
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Identification of vocal and voice disorders
(Universiti Malaysia Perlis (UniMAP), 2007-10-25)The discrimination of normal and pathological voices using noninvasive acoustic analysis helps to perform accurate identification of voice disorders and diagnoses of vocal and voice disease. Acoustic analysis is a non- ... -
Facial features for template matching based face recognition
(Science Publications, 2009)Problem statement: Template matching had been a conventional method for object detection especially facial features detection at the early stage of face recognition research. The appearance of moustache and beard had ... -
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 ... -
Application of feedforward neural network for the classification of pathological voices
(Universiti Teknologi MARA (UiTM), 2007-03-09)This paper present the application of feed forward neural network for the classification of pathological voices based on the on the acoustic analysis and EGG features. Acoustic analysis is a non-invasive technique based ... -
Electromyography signal based for intelligent prosthesis design
(Springer-Verlag, 2008-06-25)Electromyography (EMG) is widely used throughout the world for different study such as clinical diagnosis and for movement analysis. One of the applications of EMG is in the development of myoelectric prosthesis. It is ... -
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 ... -
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 ... -
Face recognition using eigenfaces and neural networks
(Science Publications, 2006)In this study, we develop a computational model to identify the face of an unknown person’s by applying eigenfaces. The eigenfaces has been applied to extract the basic face of the human face images. The eigenfaces is ... -
Object detection using circular hough transform
(Science Publications, 2005)In this study we propose a new system to detect the object from an input image. The proposed system first uses the separability filter proposed by Fukui and Yamaguchi (Trans. IEICE Japan J80-D-II. 8, 2170-2177, 1997) to ... -
Object detection using circular hough transform
(Science Publications, 2005)In this study we propose a new system to detect the object from an input image. The proposed system first uses the separability filter proposed by Fukui and Yamaguchi (Trans. IEICE Japan J80-D-II. 8, 2170-2177, 1997) to ... -
Object detection using geometric invariant moment
(Science Publications, 2006)Geometric moment invariant produces a set of feature vectors that are invariant under shifting, scaling and rotation. The technique is widely used to extract the global features for pattern recognition due to its discrimination ... -
Face emotion recognition
(Universiti Malaysia Perlis (UniMAP)Pejabat Timbalan Naib Canselor (Penyelidikan dan Inovasi), 2007-01) -
Personalized human emotion classification using genetic algorithm
(Institute of Electrical and Elctronics Engineering (IEEE), 2009-07-05)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. ... -
An investigation on visual and audiovisual stimulus based emotion recognition using EEG
(Inderscience Enterprises Ltd., 2009-01)In this paper, we investigate the possibility of using visual and audio visual stimulus for detecting the human emotion by measuring electroencephalogram (EEG). Visual and audiovisual stimulus based protocols is designed ... -
Biometric Identification: Face Recognition based on Iris Detection
(Kementerian Pengajian Tinggi Malaysia, 2005-09-30)A face recognition system that use the iris centers of both eyes for normalization. -
Biometric Identification: Face Recognition based on Iris Detection
(International Exhibition of Inventions, 2006-04-05)A new face recognition system using iris detection. Can be applied to a face image in which the position, scale and image- plan rotation are unknown. -
Biometric Identification: Face Recognition based on Iris Detection
(International Exhibition of Inventions, 2006-04-05)A face recognition system that use the iris centers of both eyes for normalization. -
Bioi2D-Wireless Embedded System for Biometric Identification Based on Iris Detection
(Kementerian Pengajian Tinggi Malaysia (KPTM), 2007-08-10)Biometrics refers to automatic identification of a person based on his or her physiological or behavioral characteristics which provides a reliable and secure user authentification for the increased security requirements ... -
Heart Caring "Handy" - Prototype
(Malaysian Invention and Design Society (MINDS), 2006-05-19)"Heart Carrying Handy" is designed to detect early abnormality in the heart pulse which will be deemed as a pre-heart attack sympton. -
Face Reader Using Single Board Computer & GNU-Linux
(Malaysian Invention and Design Society (MINDS), 2007-05-18)Embedded system for biometric identification based on iris detection.
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