Abstract  In  the  last  decades,  a  lot  of  3D  face  recognition  t echniques  have  been  proposed.  They  can  be  divided  i nto  three  parts, holistic matching techniques, feature-based  techniques and hybrid techniques. In this paper, a  hybrid technique is used,  where,  a  prototype  of  a  new  hybrid  face  recognition   technique  depends  on  3D  face  scan  images  are  desig ned,  simulated  and  implemented.  Some  geometric  rules  are  used  for  anal yzing  and  mapping  the  face.  Image  processing  is  used  to  get  the  two- dimensional values of predetermined and specific fa cial points, software programming is used to perform a three-dimensional  coordinates  of  the  predetermined  points  and  to  calc ulate  several  geometric  parameter  ratios  and  relations.  Neural  network  technique is used for processing the calculated geo metric parameters and then performing facial recogn ition. The new design  is  not  affected  by  variant  pose,  illumination  and  e xpression  and  has  high  accurate  level  compared  with   the  2D  analysis.  Moreover,  the  proposed algorithm  is  of  higher  perfo rmance  than  latest’s  published biometric  recognition  algorithms  in  terms  of cost, confidentiality of results, and availabili ty of design tools.    

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[17] Zhen W. and Huang T., 3D Face Processing Modelling, Analysis and Synthesis , Kluwer Academic Publishers, 2004. Haitham Issa received the PhD degree in Communications and Information systems from Zhejiang Unive rsity in 2002 (China). Currently, he is teaching in the Department of Communications & Electronics Engineering at Isra University (Jordan). Sali Issa received the MASTER degree from Yarmouk University in 2015 (Jordan). Currently, she is a PhD student in the field of Electronics and Information Engineering at HUST University (China). Mohammad Issa received the MASTER degree in the field of Electronics and Information Engineering from HUST University in 2016 (China). Currently, he is working with Huawei Technologies Company (China). Currently, he is a master degree candidate in the field of Communications and Information Engineering at HUST University.