Now showing items 1-5 of 5

    • Bioi2D-Wireless Embedded System for Biometric Identification Based on Iris Detection 

      Ali Yeon, Md Shakaff, Prof. Dr.; R. Badlishah, Ahmad, Prof. Madya Dr.; Mohd Rizon, Mohamed Juhari, Prof. Madya Dr.; Ahmad Nasir, Che Rosli; Wan Muhamad Azmi, Mamat (Kementerian Pengajian Tinggi Malaysia (KPTM), 2007-08-10)
      Biometrics refers to automatic identification of a person based on his or her physiological or behavioral characteristics which provides a reliable and secure user authentification for the increased security requirements ...
    • Face recognition using eigenfaces and neural networks 

      Mohamed Rizon; Muhammad Firdaus, Hashim; Puteh, Saad; Sazali, Yaacob, Prof. Dr.; Mohd Rozailan, Mamat; Ali Yeon, Md Shakaff, Prof. Dr.; Abdul Rahman, Saad; Hazri, Desa, Dr.; Karthigayan, M. (Science Publications, 2006)
      In this study, we develop a computational model to identify the face of an unknown person’s by applying eigenfaces. The eigenfaces has been applied to extract the basic face of the human face images. The eigenfaces is ...
    • Object detection using circular hough transform 

      Mohamed Rizon; Haniza, Yazid; Puteh, Saad; Ali Yeon, Md Shakaff, Prof. Dr.; Abdul Rahman, Saad; Sugisaka, Masanori; Sazali, Yaacob, Prof. Dr.; M. Rozailan, Mamat; Karthigayan, M. (Science Publications, 2005)
      In this study we propose a new system to detect the object from an input image. The proposed system first uses the separability filter proposed by Fukui and Yamaguchi (Trans. IEICE Japan J80-D-II. 8, 2170-2177, 1997) to ...
    • Object detection using circular hough transform 

      Mohamed Rizon; Haniza, Yazid; Puteh, Saad; Ali Yeon, Md Shakaff, Prof. Dr.; Abdul Rahman, Saad; Sugisaka, Manasori; Sazali, Yaacob, Prof. Dr.; M. Rozailan, Mamat; Karthigayan, M. (Science Publications, 2005)
      In this study we propose a new system to detect the object from an input image. The proposed system first uses the separability filter proposed by Fukui and Yamaguchi (Trans. IEICE Japan J80-D-II. 8, 2170-2177, 1997) to ...
    • Object detection using geometric invariant moment 

      Mohamed Rizon; Haniza, Yazid; Puteh, Saad; Ali Yeon, Md Shakaff, Prof. Dr.; Abdul Rahman, Saad; Mohd Rozailan, Mamat; Sazali, Yaacob, Prof. Dr.; Hazri, Desa, Dr.; Karthigayan, M. (Science Publications, 2006)
      Geometric moment invariant produces a set of feature vectors that are invariant under shifting, scaling and rotation. The technique is widely used to extract the global features for pattern recognition due to its discrimination ...