Browsing by Author "Chai, Tong Yuen"

Now showing items 1-5 of 5

    • 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 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 ...

    • Feature-based face recognition system using utilized artificial neural network 

      Chai, Tong Yuen (Universiti Malaysia PerlisSchool of Mechatronics Engineering, 2009)
      This project aims to reduce the effect of critical conditions such as excessive illumination, facial expressions, hairstyles, beard and moustache which have affected the performance of face recognition since ages ago. The ...

    • 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 ...