New Prototype of Hybrid 3D-Biometric Facial

Haitham Issa; Sali Issa; Mohammad Issa

doi:10.34028/iajit

Article Details

New Prototype of Hybrid 3D-Biometric Facial

Authors:

Haitham Issa | Sali Issa | Mohammad Issa

Publisher:

Zarqa University, Jordan

Journal:

The International Arab Journal of Information Technology (IAJIT) Vol.13 Issue 5, pp.105-109

Document Type:

Article

Publication Date:

1/2016

Document Language:

English

Document ID (Org No.):

2001389002

pISSN:

2309-4524

DOI:

10.34028/iajit

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.

Article Details

New Prototype of Hybrid 3D-Biometric Facial

Authors: Haitham Issa | Sali Issa | Mohammad Issa

Publisher: Zarqa University, Jordan

Journal: The International Arab Journal of Information Technology (IAJIT) Vol.13 Issue 5, pp.105-109

Document Type: Article

Publication Date: 1/2016

Document Language: English

Document ID (Org No.): 2001389002

pISSN: 2309-4524

DOI: 10.34028/iajit

Issues

Authors:

Haitham Issa | Sali Issa | Mohammad Issa

Publisher:

Zarqa University, Jordan

Journal:

The International Arab Journal of Information Technology (IAJIT) Vol.13 Issue 5, pp.105-109

Document Type:

Article

Publication Date:

1/2016

Document Language:

English

Document ID (Org No.):

2001389002

pISSN:

2309-4524

DOI:

10.34028/iajit