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 ...
    • Facial expression based computer cursor control system for assisting physically disabled person 

      Bukhari, Ilias; Vasanthan, M; Nagarajan, R; Murugappan, M; Letchumikanth, J (Institute of Electrical and Electronics Engineers (IEEE), 2012)
      Recent years, several researchers are developingc different kinds of assistive devices for physically disabled peoples. In this work, movement of illuminant markers through facial expressions is used to control the cursor ...
    • 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 ...