Checking an Authentication of Person Depends on RFID with Thermal Image

  • Ahmed Raad Al-SudaniEmail author
  • Shang Gao
  • Sheng Wen
  • Muhmmad Al-Khiza’ay
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11342)


The developed cameras help researchers attempting to imitate the human brain by distinguishing between people by many techniques were mentioned in the literature. Distinguishing between the human beings is being done by the image picked up by the visible light cameras in a classical method, because of this cameras do not provide enough amount of information. Therefore, the Kinect camera is distinguished assists researchers in obtaining tangible results from cameras development which presented the normal of integrative of the depth information and RGB information. This paper presents a model for face detection and recognition by the Kinect technique to some fundamental problems in the computer vision. This model is suggested in the environment of the company: firstly, to prove the reliability of the Kinect outputs. Secondly, detection about the depth of the human face by using maps drawing to distinguish the real human face, and get rid of the fraud processes, from which technique of face detection and recognition suffer. Finally, the suggested model has used the tracking algorithm that represents one of the system stages to provide the most significant amount of security. And in the end, tests are done by using our database obtained from the RGB camera in Kinect.


RFID authentication Smart building Kinect Thermal image IOT 


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© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.School of Information Technology, Faculty of Science, Engineering and Built EnvironmentDeakin UniversityGeelongAustralia
  2. 2.School of Information TechnologySwinburne UniversityHawthornAustralia

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