Now showing items 1-9 of 9

    • The effects of compiler optimizations in face recognition system 

      Shuhaizar, Daud; Khalib, Z.I.K; R. Badlishah, Ahmad; Mohamad Rizon, Mohamed Juhari (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 ...
    • 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. ...
    • Investigation of facial artifacts on face biometrics using eigenface based single and multiple neural networks 

      Sundaraj, Kenneth (World Scientific and Engineering Academy and Society (WSEAS) Press, 2009)
      Biometrics has been an important issue pertaining to security in the last few decades. Departments or agencies entrusted with national security are increasingly installing surveillance cameras in strategic or critical areas ...
    • IR 4.0 generation of face recognition based system 

      Aifian; Saizal, Md Mustam; M.F.L Abdullah; Farhana, Ahmad Po’ad; Ariffuddin, Joret (Universiti Malaysia Perlis (UniMAP), 2021-12)
      Nowadays, the usage of a manual attendance system has become irrelevant with the current technological advancements. Although, there are many advanced attendance systems such as RFID attendance. It does not solve the problem ...
    • 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 ...
    • 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. ...
    • Real-time detection of face and iris 

      Chai, Tong Yuen; Mohamed Rizon, Mohamed Juhari, Prof. Dr.; Muhammad Shazri (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 ...