Browsing Mohd. Rizon Mohamed Juhari, Prof. Ir. Dr. by Subject "Image processing"

Now showing items 1-9 of 9

    • A comparison of circular object detection using Hough transform and chord intersection 

      Mohamed Rizon, Mohamed Juhari; Haniza, Yazid; Puteh, Saad (Institute of Eelectrical and Electronics Engineering (IEEE), 2007-07)
      In this paper, the circular Hough transform (CHT) and the chord intersection have been used to find the circular object in the feature extraction process. The chord intersection technique does not require any gradient ...

    • Detection of coconuts location using separability filter and Hough Transform 

      Haniza, Yazid; Mohamed Rizon, Mohamed Juhari; Sugisaka, Masanori; Puteh, Saad; Ali Yeon, Md Shakaff; Abdul Rahman, Mohd. Saad (Kolej Universiti Kejuruteraan Utara Malaysia, 2005-05-14)
      In this paper, we develop a technique to determine coconuts location using separability filter and Hough transform method. Our research involves two sequential steps for solving the coconuts detection and recognition. The ...

    • 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 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 ...

    • 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 ...

    • 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, ...

    • Personalized face emotion classification using optimized data of three features 

      Muthukaruppan, Karthigayan; Ramachandran, Nagarajan; Mohd Rizon, Mohamed Juhari; Sazali, Yaacob (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. ...

    • Recognition of human front face in Grayscale Images 

      Mohamed Rizon, Mohamed Juhari; Phaklen Ehkan; Ahmad Nasir, Che Rosli (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 ...