Now showing items 1-10 of 10

    • Automated face localization and facial features detection using geometric information 

      Chai, Tong Yuen; Mohd Rizon, Mohamed Juhari, Prof. Dr.; Karthigayan, M.; Sugisaka, M.; Hazry, Desa, Dr.; Ibrahim, Z. (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 ...
    • Automated marker placement based real-time facial emotional expression recognition system 

      Vasanthan, Maruthapillai
      Facial expression recognition attracted several researchers over the past several decades and most of the researchers in the literature focus on facial expression recognition in “offline” and very few research works ...
    • Automatic face recognition system 

      Mekhilef, Saad, Dr.; S. B., Low; C. L., Ng; M., Mahadani (The Institution of Engineers, Malaysia, 2008-06)
      The paper presents the implementation of algorithms to develop an automatic face recognition system. The system extracts the human face and then recognizing that face for a match of the desired people from face database. ...
    • Evaluation of virtual classroom with artificial intelligence components 

      Kah, Yee Lim; Hau, Joan; Yiqi, Tew (The Institution of Engineers, Malaysia (IEM), 2022)
      The recent advancement of information technology allows educators and students to interact with Artificial Intelligence (AI) through smart classroom channels. This channel is one of the latest technology-enhanced learning ...
    • 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 ...
    • 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 ...
    • Real-time background subtraction using adaptive thresholding and dynamic updating for biometric face detection 

      Sundaraj, Kenneth (World Scientific and Engineering Academy and Society (WSEAS), 2008)
      Face biometrics is an automated method of recognizing a person's face based on a physiological or behavioral characteristic. Face recognition works by first obtaining an image of a person. This process is usually known as ...
    • 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 ...
    • Real-time face detection using dynamic background subtraction 

      Sundaraj, Kenneth, Prof. Dr. (World Scientific and Engineering Academy and Society, 2008)
      Face biometrics is an automated method of recognizing a person’s face based on a physiological or behavioral characteristic. Face recognition works by first obtaining an image of a person. This process is usually known ...
    • Various Recognition approach in human faces 

      Karthigayan, M.; Mohd Rizon, Mohamed Juhari; Sazali, Yaacob; Nagarajan, R.; Puteh, Saad; Muhammed Firdaus, Hashim; Haniza, Yazid (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 ...