Abstract
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.
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Al-Sudani, A.R., Gao, S., Wen, S., Al-Khiza’ay, M. (2018). Checking an Authentication of Person Depends on RFID with Thermal Image. In: Wang, G., Chen, J., Yang, L. (eds) Security, Privacy, and Anonymity in Computation, Communication, and Storage. SpaCCS 2018. Lecture Notes in Computer Science(), vol 11342. Springer, Cham. https://doi.org/10.1007/978-3-030-05345-1_32
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