Browsing Mohd. Rizon Mohamed Juhari, Prof. Ir. Dr. by Title

Now showing items 23-42 of 53

    • Face emotion recognition 

      Mohd Rizon, Mohamed Juhari; M., Karthigayan; Ramachandran, Nagarajan, Prof. Dr.; Sazali, Yaacob, Prof. Dr.; M., Rozailan; M., Sugisaka; Hazry, Desa, Dr. (Universiti Malaysia Perlis (UniMAP)Pejabat Timbalan Naib Canselor (Penyelidikan dan Inovasi), 2007-01)

    • Face Emotion Recognition - A survey 

      Kartigayan, M.; Mohamed Rizon, Mohamed Juhari; Sazali, Yaacob; Nagarajan, R. (Oita University, 2006-01-23)
      The facial emotion is playing a vital role in visual communication system. The vision system is being integrated to the robot to recognize the facial gestures or emotion. The integration of the vision system and EMG sensors ...

    • Face Reader Using Single Board Computer & GNU-Linux 

      Ali Yeon, Md. Shakaff, Prof. Dr.; R. Badlishah, Ahmad, Assoc. Prof. Dr.; Mohd Rizon, Mohamed Juhari, Assoc. Prof. Dr.; Ahmad Nasir, Che Rosli; Wan Muhammad Azmi, Mamat (Malaysian Invention and Design Society (MINDS), 2007-05-18)
      Embedded system for biometric identification based on iris detection.

    • A face recognition system using template matching and neural network classifier 

      Muhammad Firdaus, Hashim; Puteh, Saad; Mohamed Rizon, Mohamed Juhari; Shahrul Nizam, Yaakob (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 eigenfaces and neural networks 

      Mohamed Rizon; Muhammad Firdaus, Hashim; Puteh, Saad; Sazali, Yaacob, Prof. Dr.; Mohd Rozailan, Mamat; Ali Yeon, Md Shakaff, Prof. Dr.; Abdul Rahman, Saad; Hazri, Desa, Dr.; Karthigayan, M. (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 ...

    • Face recognition using neural network 

      Azlan Zainul (Universiti Malaysia PerlisSchool of Mechatronic Engineering, 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 ...

    • Facial features for template matching based face recognition 

      Chai, Tong Yuen; Mohd Rizon, Mohamed Juhari, Prof. Dr.; Woo, San San; Tan, Ching Seong, Dr. (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 ...

    • Fuzzy clustering for genetic algorithm based optimized ellipse data in classifying face emotion 

      Muthukaruppan, Karthigayan; Mohd Rizon, Mohamed Juhari; Sazali, Yaacob; Ramachandran, Nagarajan; Masanori, Sugisaka; Mohd Rozailan, Mamat (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. ...

    • Heart Caring "Handy" - Prototype 

      Retnasamy, Vithyacharan; R., Vijenthi; Sazali, Yaacob, Prof. Dr.; R., Nagarajan; Rizon, Juhari; Kenneth, Sundaraj; Shukry, Abd. Majid; Mohamad Hanif, Abd Hamid (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.

    • Human faces: a review from detection to recognition 

      Mohamed Rizon, Mohamed Juhari; Muthukaruppan, Karthigayan; Sazali, Yaacob; Ramachandran, Nagarajan; Puteh, Saad; P. L. EhKan (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 ...

    • Identification of vocal and voice disorders 

      Murugesa Pandiyan, Paulraj, Prof. Madya Dr.; Sazali, Yaacob, Prof. Dr.; Mohd Rizon, Mohammed Juhari, Prof. Dr.; Sivanandam, S. N.; Muthusamy, Hariharan, Dr. (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- ...

    • An investigation on visual and audiovisual stimulus based emotion recognition using EEG 

      Murugappan, M.; Mohd Rizon, Mohammed Juhari; Nagarajan, Ramachandran, Prof. Dr.; Sazali, Yaacob, Prof. (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 ...

    • Japanese face emotions classification using lip features 

      Mohamad Rizon, Mohamed Juhari; Muthukaruppan, Karthigayan; Sazali, Yaacob; Nagarajan, R. (Institute of Electrical and Electronics Engineering (IEEE), 2007)
      In this paper, lip features are applied to classify the human emotion using a set of irregular ellipse fitting equations using Genetic algorithm. As Japanese, is considered in this study. All six universally accepted ...

    • Materials strength analysis for Artificial Muscles 

      Ramesh, Ramasamy; Mohamed Rizon, Mohamed Juhari; Mohd Rozailan, Mamat; Sazali, Yaacob; Sugisaka, Masanori (Kolej Universiti Kejuruteraan Utara Malaysia, 2006-06-15)
      The intention of this article is to introduce and overview Pneumatic Artificial Muscles (PAMs) as whole and to discuss on its numerical modelling, namely the development of a mathematical model, to understand more on its ...

    • Multiple objects detection using Separability Filter and Circular Hough Transform 

      Haniza, Yazid; Mohamed Rizon, Mohamed Juhari; Puteh, Saad; Ali Yeon, Md Shakaff; Sazali, Yaacob; Abdul Rahman, Mohd. Saad; Sugisaka, Masanori (Kolej Universiti Kejuruteraan Utara Malaysia, 2006-06-15)
      In this paper 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 to obtain the best object candidates and second, the ...

    • A new approach for Face Recognition based on Iris 

      Mohamed Rizon, Mohamed Juhari (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, ...

    • A new approach for recognition of human emotions 

      Karthigayan, M.; Mohd Rizon, Muhamed Juhari; Sazali, Yaacob; Nagarajan, R. (Institut Teknologi Bandung, 2006-11-29)
      In the modern world, all elder people and young child are left alone at home. As long, they are staying alone at home will lead some depression and diversion for them. To overcome this problem, robots are implemented with ...

    • Object detection using circular hough transform 

      Mohamed Rizon; Haniza, Yazid; Puteh, Saad; Ali Yeon, Md Shakaff, Prof. Dr.; Abdul Rahman, Saad; Sugisaka, Masanori; Sazali, Yaacob, Prof. Dr.; M. Rozailan, Mamat; Karthigayan, M. (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 

      Mohamed Rizon; Haniza, Yazid; Puteh, Saad; Ali Yeon, Md Shakaff, Prof. Dr.; Abdul Rahman, Saad; Sugisaka, Manasori; Sazali, Yaacob, Prof. Dr.; M. Rozailan, Mamat; Karthigayan, M. (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 

      Mohamed Rizon; Haniza, Yazid; Puteh, Saad; Ali Yeon, Md Shakaff, Prof. Dr.; Abdul Rahman, Saad; Mohd Rozailan, Mamat; Sazali, Yaacob, Prof. Dr.; Hazri, Desa, Dr.; Karthigayan, M. (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 ...