Browsing School of Computer and Communication Engineering (Theses) by Author "Dr. Muhammad Imran Ahmad"

Now showing items 1-5 of 5

    • Face recognition system using DCT features implemented on DSP processor 

      Raja Abdullah, Raja Ahmad (Universiti Malaysia Perlis (UniMAP)School of Computer and Communication Engineering, 2015)
      Face recognition is a challenge because the faces always change due to facial expression, direction, light, and scale. Furthermore, it needs good computing techniques for recognition in order to reduce the system’s ...

    • Face recognition using Eigen-Face implemented on DSP processor 

      Nawaf Hazim, Naef Barnouti (Universiti Malaysia Perlis (UniMAP)School of Computer and Communication Engineering, 2014)
      Face recognition is the established research area in 2D biometric recognition system and broadly used in a security system. Face recognition system is a physiological biometric information processing based on the two ...

    • Gait recognition using principle component analysis implemented on DSP Processor 

      Mohanad Hazim Nsaif, Al-Mayyahi (Universiti Malaysia Perlis (UniMAP)School of Computer and Communication Engineering, 2014)
      This research focus on the development of an automatic human identification system using gait sequence images. Human identification is widely used in computer vision applications such as surveillance system, criminal ...

    • Information fusion of face and palm-print multimodal biometric at matching score level 

      Mohammed Elzaroug, Alshrief (Universiti Malaysia Perlis (UniMAP)School of Computer and Communication, 2014)
      Multimodal biometric systems that integrate the biometric traits from several modalities are able to overcome the limitations of single modal biometrics. Fusing the information at the middle stage by consolidating the ...

    • Palmprint recognition using eigen-palm image implemented on DSP processor 

      Thulfiqar Hussein, Mandeel (Universiti Malaysia Perlis (UniMAP)School of Computer and Communication Engineering, 2015)
      This study focuses on the development of a human identification system using eigenpalm images. Human identification based on biometric technology is extensively used in several applications, such as access control and ...