Now showing items 1-4 of 4

    • 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 ...
    • Automatic detection of face and facial features 

      Chai, Tong Yuen; Mohd Rizon, Mohamed Juhari, Prof. Dr.; Woo, San San; Sugisaka, M. (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 ...
    • Electromyography signal based for intelligent prosthesis design 

      Zunaidi, Ibrahim; Ramachandran, Nagarajan, Prof. Dr.; Mohd Rizon, Mohamed Juhari, Prof. Dr.; Hazry, Desa, Dr.; Ruslizam, Daud; Azlin, C. O. (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 ...
    • 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 ...